Item 6.1.4 - MScModelCompSci_CPRC_last

M.Sc in Modelling and Computational Science Organization and Program Information Submission Title Page Full Legal Name of Organization: University of Ontario Institute of Technology Operating Name of Organization: University of Ontario Institute of Technology Common acronym of Organization: UOIT URL for Organization Homepage: www.uoit.ca Degree Level and Type to be awarded for program or part of program: Master of Science in Modelling and Computational Science Proposed Degree Titles: Master of Science in Modelling and Computational Science Proposed Degree Nomenclature: M.Sc in Modelling and Computational Science Date of Submission: December 17, 2004 Location where program to be delivered: University of Ontario Institute of Technology 2000 Simcoe St N Oshawa, ON L1H 7K4 Contact Information: Persons responsible for this submission: Dr William R Smith Dean, Faculty of Science University of Ontario Institute of Technology 2000 Simcoe Street North Oshawa, Ontario, L1H 7K4 Tel: 905-721- 3111 ext 3235 Fax: 905-721- 3304 Email: william.smith@uoit.ca page M.Sc in Modelling and Computational Science page Introduction a Brief listing of program The program leads to the degree of Master of Science in Modelling and Computational Science A student will have the option of obtaining their degree through a Thesis option or a Course-based option The Thesis option combines course-based learning with the writing of a thesis that may involve original contributions to research, while the Course-based option has an increased emphasis on course-based learning, and the development of research skills is achieved through the writing of a Research Report The expected time of completion for this degree is 20 months Background and rationale for program The study of observable phenomena (physical, biological, engineering, and many others) can be approached from different perspectives and studied at various levels Experimentalists gather data to gain an understanding of the phenomena, which may lead to a theory that explains how the underlying mechanisms function and that can predict the behaviour of the phenomena Often, however, analysis of the observed data in and of itself is insufficient for providing a global understanding of a phenomenon or in establishing a coherent predictive theory The construction of a theoretical model of the observed phenomenon that can be studied mathematically has become a successful and recognized additional method of gaining insight into the way nature works Furthermore, some natural phenomena can only be studied using this approach, because they are not amenable to experimental manipulation; examples are global warming due to an increase in the concentration of carbon dioxide in the atmosphere, and the dynamics of galaxy evolution The use of predictions obtained using mathematical models dates back to the seventeenth century, when Isaac Newton used his theory of gravitation and differential calculus to calculate the motions of celestial bodies A more recent example is the work of Hodgkin and Huxley in the 1950’s (Nobel prize in Physiology: 1963) who used a mathematical model involving differential equations to study the mechanisms that generate action potentials in neurons For mathematical models to be useful in the study of observable phenomena, it is essential to develop mathematical methods and theories for obtaining and analyzing solutions of the equations of the model Depending on the model’s complexity, the process can involve theoretically-based analytical methods, numerical simulations, or more frequently a combination of both approaches The resulting solutions unravel the information hidden within the mathematical models Their analysis leads both to an understanding and interpretation of alreadyobserved data, and to the development of testable predictions concerning behaviour of the phenomenon when parameters of the model are changed These testable predictions determine the validity and reliability of the theoretical model as a tool for comprehending the phenomenon Until recent times, theoretical mathematical analysis has been the only method for reliably investigating mathematical models In the early 1960’s, the use of computer simulations began to enter the realm of scientific investigation, as exemplified by M.Sc in Modelling and Computational Science page the pioneering work of Ed Lorenz in the study of meteorological phenomena, which led to the birth of what has come to be called “Chaos Theory” The widespread access to computers of increasing power, and the development of new computational algorithms has stimulated the growth of the emerging field of Computational Science, which is a new methodology for carrying out scientific investigation that is complementary to the traditional approaches of theory and experiment Computational Science combines the implementation of mathematical models, computer algorithms, and knowledge in a particular area of application, in order to provide an additional tool for the study of phenomena, and in particular to facilitate the study of problems that are intractable or difficult to study using conventional approaches The diagram below shows schematically the various steps involved in the modelling of observable phenomena There are three primary links in the chain of modelling: formulating the mathematical model, developing algorithms to solve the equations of the model, and performing effective computations, which often involves the use of computers The modelling and analysis of observable phenomena requires the development of skills and acquisition of knowledge from several disciplines (mathematics, computing science, and the area of application) for its effective implementation The academic units initially involved in the proposed program at UOIT (the Faculty of Science and the School of Energy Systems and Nuclear Science) cut across several disciplines: the members are mathematicians, computing scientists, physicists, chemists and nuclear engineers The proposed Master’s degree program in Modelling and Computational Science takes advantage of the interdisciplinary nature of the academic units to offer students a course of study that will introduce them to all aspects of the modelling process Objectives of the program: M.Sc in Modelling and Computational Science page The objectives of the program are the following: Train students in the modelling of real-world phenomena Train students in computer skills and computer programming Prepare students for Ph.D studies Develop scientific communication skills Prepare students for the job market These objectives will be achieved through the following activities The training of students in the modelling of observable phenomena is achieved through course work and a research project The three required core courses taken by all students are Mathematical Modelling, Numerical Analysis and HighPerformance Computing In the Mathematical Modelling course, the students will be exposed to various methods of formulating mathematical models of observable phenomena and learn mathematical techniques and theories for performing the analysis of the models The Numerical Analysis course will introduce students to algorithms that can be used for obtaining approximate numerical solutions to the relevant mathematical models that typically arise in practice The High-Performance Computing course introduces students to the efficient implementation of numerical algorithms for solving large-scale problems The elective courses contain material that will provide the student with further exposure to the modelling process, typically in particular areas of application Finally, in both the thesis and course-based options the students will gain first-hand experience on the three aspects of modelling through their Thesis work or their Research Report, respectively The training of students in state-of-the-art computer skills will be provided in the Numerical Analysis and High-Performance Computing courses In both these courses, the students will be required to implement numerical algorithms using programming languages such as Fortran, C, and MATLAB These algorithms will include those relevant to parallel computing Students will generally use some form of computer programming as a tool to complete their research project (whether thesis or course-based) Students completing the Master’s program in Modelling and Computational Science will be equipped to enter Ph.D programs in Applied Mathematics, Physics, Chemistry and Engineering See Section 1.3 below for further details Students will develop scientific communication skills through the writing of a Thesis or a Research Report that will be evaluated by a Supervisory Committee, and an oral presentation of their work Students in the Thesis option of the program will also be required to defend their thesis orally The quality of their written and oral communication skills will be assessed as part of the thesis or course-based report evaluation Moreover, all students in the program are required to participate in a seminar series, in which they will be required to give an oral presentation and will receive feedback from their Supervisor Students completing the Master’s program in Modelling and Computational Science will be in a good position to enter the job market, by virtue of the skills aquired See “Need and demand” part (e) of this section M.Sc in Modelling and Computational Science b page Relationship of proposed program to unit academic plans From its inception, the Faculty of Science has no Departments, and has emphasized interdisciplinarity in its teaching and research This includes teamteaching of courses cutting across disciplines In addition, the Colloquium Series in the Faculty of Science, ongoing since Fall, 2004, emphasizes interdisciplinary research and is an ongoing focal point for research interaction among faculty and research visitors From the beginning, Science has built a strong core of researchoriented faculty in various areas of modelling and computational science As infrastructure support for these latter initiatives, UOIT has been a member of SHARCNET (Shared Hierarchical Academic Research Computer Network), a highperformance computing consortium of 11 universities and colleges based in SouthCentral Ontario The proposed program is a natural evolution of all these developments, which are planned to continue and further evolve in the future The Master’s program in Modelling and Computational Science will provide an opportunity for graduate training to students from UOIT with a B.Sc degree in Physics, Chemistry, Computing Science or Mathematics from the Faculty of Science, or with a B.Eng degree from the School of Energy Systems and Nuclear Science or from the Faculty of Engineering and Applied Science In particular, for students in the Faculty of Science opting for the undergraduate Computational Science specialization within the Physical Science stream, the proposed Master’s program is a natural extension of the training they receive as undergraduate students c Admission Requirements Each applicant to the Master’s program in Modelling and Computational Science must meet the following requirements An Honours undergraduate degree in Mathematics, Science, or Engineering with a minimum average grade of B (3.0 on 4.3) Course Requirements: Normally students will have completed courses in basic numerical methods, linear algebra, differential equations, and possess some computing skills To assist with the assessment of the application, the student should provide relevant course numbers, titles, a brief description of course content, text books used and/or chapters covered, and the grade received if applicable Admission depends on the availability of a Research Supervisor The student must submit an official transcript from all post-secondary institutions attended All non-English transcripts must be accompanied by an official translation International students whose first language is other than English must submit a TOEFL score of 220 (computer-based) or 560 (paper-based), or a CAEL score of 60 d In-course employment opportunities: N/A M.Sc in Modelling and Computational Science e page Need and demand i A description of the general need and demand for the initiative: The Ontario Council of Graduate Studies (OCGS) has stated that the need for graduate education in Ontario will double in the near future One of the drivers is the so-called “Double Cohort” of students, who will graduate in 2007 The demand for graduate education is expected to be particularly strong in the area of the proposed graduate program The need arises from both the industrial and academic sectors From a survey of industrial experts recently undertaken by the Canadian Advanced Technology Alliance (CATA), it was found that there is a critical need for Highly Qualified Personnel (HQP) who possess skills and knowledge in High-Performance Computing (HPC) Many companies from all sectors acknowledged this need for HQP, indicating the significant extent of the skill requirement "The importance of high-performance computing in sustaining Canadian competitiveness across all sectors cannot be understated," says CATA President, John Reid The Canadian Advanced Technology Alliance (CATA) is the largest business development association dedicated to making Canadian organizations world-class producers and users of advanced technology The jobs in these areas are expected to be almost exclusively within interdisciplinary groups that perform a number of different tasks, and thus, problem-solving ability and the ability to communicate and work with people from a variety of disciplines will be critical The graduates of the proposed Master’s program in Modelling and Computational Science will be in an excellent position to fill these jobs and to contribute to the province’s economy Indeed, in addition to acquiring the necessary computational and modelling skills, the students will be exposed to a broad spectrum of mathematical analysis techniques and a broad spectrum of applications, including general physics and chemistry, fluid dynamics on scales ranging from millimeters to thousands of kilometers, medical imaging, transport phenomena, geophysics, and biology This broad exposure will occur formally in the seminar course, as well as in other courses, and will occur informally via conversations and research interactions between the students of faculty involved in the program There is also a great need for graduates of the proposed program in the academic sector Computational Science is a new, innovative and emerging interdisciplinary field of research Technological advances have opened the door to a significant range of problems that until recently were inaccessible Indeed, there are a great number of important scientific discoveries that could be made if there is a sufficient influx of researchers into the field Such an influx would require the establishment of many more graduate programs such as this one We expect that the number of qualified applicants for the program will be greater than the number of students that the faculty will be able to support In general, this is typically true for graduate programs in the Physical Sciences However, we expect that there will be particularly strong demand for our proposed program In 2007, the first undergraduate class will graduate from the Faculty of Science and from the School of Energy Systems and Nuclear M.Sc in Modelling and Computational Science page Science at UOIT, and it is anticipated that many of these students will want to pursue graduate studies in those fields As noted previously, in this same year, the students involved in the double cohort will be graduating, which will create a very significant increase in demand for graduate programs in general in the province Furthermore, the OCGS expects that the increased demand will not be limited to the graduating year of the double cohort, but that due to the changing needs of our workforce, the demand for graduate programs will continue to increase in general We expect that programs such as ours, in innovative and marketable fields, will be in particularly high demand ii Five-year enrolment projections and estimates of demand for the program: The revenue and resources required are the same regardless of whether the students follow the thesis option or course-based option Thus, in this table and the business plan, no distinction is made between the two options Three core courses and at least elective courses will be offered each year (3 in the first year of the program), and thus, new faculty positions will be needed to satisfy these teaching requirements An additional 0.25 faculty member requirement arises due to the need for a Graduate Director; this would entail a one-course teaching relief for a faculty member Technical support will be necessary in the form of a computer systems analyst However, the duties of the research computer systems analyst who is currently employed by the Faculty of Science will expand to accommodate the anticipated needs of the program Secretarial duties related to the proposed program will be absorbed within existing and proposed staffing iii An indication of the extent to which the proposed program prepares students for Ph.D studies: M.Sc in Modelling and Computational Science page Both the thesis option and the course-based option of the Master’s program in Modelling and Computational Science will prepare students for Ph.D studies in Applied Mathematics, Physics, Chemistry or Engineering Depending on the background of the student, the proposed program is more than sufficient to ensure access to the Ph.D programs of most universities across the country and around the world; see Appendix A for some examples of entrance requirements for Ph.D programs In terms of academic background and scholarly activities, the program will prepare students for the challenges of doctoral studies The program in general will provide the students with high-quality graduate courses, current-interest research problems that can lead to peer-reviewed publications, opportunities for scientific communication in both written and oral formats, exposure to cutting-edge research through interactions with the Faculty members at UOIT and the numerous visitors via the ongoing Science Colloquium and the Seminar Series, and the opportunity to present the results of their research at conferences In relation to the course-based option, the thesis option will provide a student with more research experience However, the increased breadth that a student will obtain in the course-based option will be a significant asset in the pursuit of a doctorate degree iv The existence of similar or complementary programs elsewhere in Ontario/Canada: Currently, the only similar program in Ontario is the Graduate Program in Computational Science at the University of Western Ontario; the only other similar program in Canada is at Memorial University in Saint John’s, Newfoundland The graduate programs offered at Western Ontario and Memorial are superstructures built on top of existing Departments At Western Ontario, the students register for a M.Sc or Ph.D in their respective disciplines and upon completion of the program receive a mention of “Scientific Computing” in their degree Only Memorial University has a bona fide and standalone M.Sc program in Computational Science The proposed Master’s program in Modelling and Computational Science is different from the aforementioned programs in two significant aspects First, it embodies a broader scope; that is, it includes both the modelling and the computational aspects of scientific investigation Our program emphasizes the development of mathematical models themselves, as well as the numerical computation of solutions intrinsic to Computational Science Second, because of the structure of the academic units at UOIT, the proposed program is fundamentally interdisciplinary and does not require the coordination of several Departments This is a cooperative program initially involving faculty of the Faculty of Science and the School of Energy Systems and Nuclear Science However, any faculty member at UOIT can potentially be a member of the program Degree Requirements M.Sc in Modelling and Computational Science page Thesis option: Successful completion of 30 credits, including three-credit courses and a 12-credit thesis The three-credit courses must include core courses and elective courses, and a minimum grade of B- must be achieved in each course With approval from the student’s Supervisory Committee, at most one elective course may be a fourth-year undergraduate course not included in the list of graduate course electives At most two of the electives may be courses either listed or cross-listed as undergraduate courses Successful completion of the non-credit Graduate Seminar in Modelling and Computational Science course Before the start of their second year of the program, students in the Thesis option will be required to submit to their Supervisory Committee a document describing the research project they will be investigating and a plan for completion Moreover, they will be required to give a short oral presentation to the Supervisory Committee describing this information Successful completion of a 12-credit Thesis and an oral thesis defense that will include a 30-minute oral presentation Evaluation will be carried out by the Supervisory Committee that will not only assess the scientific content of the thesis and the oral defense, but also the written and oral communication skills of the student Course-based option: Successful completion of 30 credits, including three-credit courses and a 6-credit research project The three-credit courses must include core courses and elective courses, and a minimum grade of B- must be achieved in each course With approval from the student’s Supervisory Committee, at most two of the elective courses may be fourth-year undergraduate courses not included in the list of graduate course electives At most two of the electives may be courses either listed or cross-listed as undergraduate courses Successful completion of the non-credit Graduate Seminar in Modelling and Computational Science course Before the beginning of their second year, students in the course-based option will be required to choose, in consultation with their supervisor, a research project Successful completion of a 6-credit Research Report Evaluation will be carried out by the Supervisory Committee that will not only assess the scientific content of the thesis, but also the written communication skills of the student a Program maps and course descriptions: M.Sc in Modelling and Computational Science page 10 i Courses currently offered; MCSC 6060G Advanced Statistical Mechanics will be cross-listed with the undergraduate course PHY 4010U Statistical Physics II MCSC 6070G Advanced Quantum Mechanics will be cross-listed with the undergraduate course PHY 4020U Quantum Mechanics II MCSC 6080G Advanced Optimization will be cross-listed with the undergraduate course MAT4060U Optimization (formerly Operations Research II) ii New courses: Core Courses MCSC 6010G MCSC 6020G MCSC 6030G Mathematical Modelling Numerical Analysis High-Performance Computing Elective Courses MCSC 6120G MCSC 6125G MCSC 6140G MCSC 6150G MCSC 6160G MCSC 6165G MCSC 6170G MCSC 6180G MCSC 6210G MCSC 6220G MCSC 6230G MCSC 6240G MCSC 6270G Numerical Methods for Ordinary Differential Equations Numerical Methods for Partial Differential Equations Dynamical Systems and Bifurcations Fluid Dynamics Transport Theory Monte Carlo Methods Computational Chemistry Computational Physics Advanced Topics in Mathematical Modelling Advanced Topics in Numerical Analysis Advanced Topics in High-Performance Computing Advanced Topics in Dynamical Systems Advanced Topics in Computational Science Required Non-Credit Course MCSC 6000G Graduate Seminar in Modelling and Computational Science Expected student progress through the MSc Thesis option M.Sc – Year – Fall three-credit courses (2 core + elective) M.Sc – Year – Winter three-credit courses (1 core + electives) M.Sc – Year – Summer Begin Thesis research M.Sc – Year – Fall Thesis research M.Sc – Year – Winter Complete Thesis Expected student progress through the MSc Course-based option M.Sc – Year – Fall three-credit courses (2 core + elective) M.Sc – Year – Winter three-credit courses (1 core + electives) M.Sc – Year – Summer Begin research for Research Report M.Sc – Year – Fall three-credit courses (2 electives) + research report M.Sc – Year – Winter Complete Research Report M.Sc in Modelling and Computational Science page 61 g Commitment of faculty members from other graduate programs and/or from other institutions Four members of the proposed program are also involved in other graduate programs: Dr Peter Berg (also a participant in a forthcoming Master’s program in Engineering), Dr Fedor Naumkin (also in a participant in a forthcoming Master’s program in Applied Biosciences), Dr Eleodor Nichita and Dr Ed Waller (both participants in a forthcoming Master’s program in Energy and Thermofluids Engineering) The commitments of Dr Berg and Dr Naumkin are principally with the program in Modelling and Computational Science Dr Nichita’s and Dr Waller’s commitment will be 50-50 between the two programs Statement of Funding and Resource Availability (Business Plan): We begin with a statement of the projections for student enrolment, followed by a description of the sources of funding for graduate students This is followed by a Table summarizing the information provided below The revenue and resources required for a graduate student is the same regardless of whether they are enrolled in the thesis option or the course-base option Therefore, there is no distinction made between the two options Projections of Student Enrolment: Availability of Supervising Faculty and Funds: At steady-state, we expect the program to have approximately 29 graduate students This estimate is based on the expected number of faculty members who will participate in the program, and on the availability of research funding for graduate students Currently, the program has faculty members, each with sufficient research funding to support at least two graduate students in the program In addition to the research funds from start-up grants from UOIT, all members of the program either hold a NSERC Discovery Grant or have applied for one in Fall 2004 In the next three years, the number of faculty participating in the program is expected to increase In order to satisfy undergraduate teaching needs, new Faculty members will be hired for July 2006 New hires in Mathematics and Physics (approximately three) are expected to participate in the proposed graduate program, while new faculty members in Chemistry, Computing Science and the School of Energy Systems and Nuclear Science may also participate in the graduate program, depending on their research interests In addition, there is the possibility of hiring an additional faculty member through the SHARCNET Research Chair Program, and a proposed NSERC/UNENE Industrial Research Chair in the School of Energy Engineering and Nuclear Science Both individuals would participate in the proposed program We expect the graduate program to start in September 2006 Every year, core courses will be offered In the initial year of the program, elective courses will be offered, and thereafter at least of the 13 elective courses will be offered each year Thus, incorporating the requirement for a Graduate Director (0.25 positions), new faculty position will be required in the initial year of the program, and an additional 1.25 new M.Sc in Modelling and Computational Science page 62 faculty positions will be needed in the second year of the program to cover the increase in teaching and administrative requirements required Therefore, at the start of the proposed graduate program, there will be at least 13 faculty members taking part in the program, with an increase to 14.25 in the second year We expect this number to increase to at least 16 in subsequent years, in view of the potential SHARCNET and NSERC/UNENE Chairs and other hiring Thus, under the assumption that each faculty member would supervize on average approximately graduate students at one time, we expect that at steady state, there will be approximately 29 students registered in the program Note that the year 2007 will see the first graduating class from the Faculty of Science and the School of Energy Systems and Nuclear Science Many of these students will wish to pursue graduate studies in those fields, and the University should be prepared to receive these students A further increase in demand will also arise in 2007 due to the graduation of the double cohort students Indeed, the number of strong applicants to the program may exceed our predictions so that the16 faculty members expected to participate in the program may not be sufficient to supervise and fund all of the incoming graduate students Sources of Funding for Graduate Students: All students applying to the program in Modelling and Computational Science, in either the thesis or course-based streams will be eligible for various forms of funding Canadian students are strongly encouraged to apply to provincial and federal granting agencies for graduate scholarships, and foreign students are encouraged to apply to granting agencies in their own country Graduate Assistantships: Subject to the availability of funds, each student will be eligible for Graduate Assistantships that consist of a Teaching Assistantship and a Research Assistantship Priority for Graduate Assistantships is given to students in the first 20 months (5 semesters) of the program The granting of a Graduate Assistantship to a student after this time would be treated on a case-by-case basis, and would be subject to the availability of funds and the merit of the candidate Students are automatically considered for a Graduate Assistantship upon submission of their application to the program The funds from the Graduate Assistantships will be distributed in the following manner The Teaching Assistantship will have an average load of 10 hours per week (maximum allowed by OCGS), with the duties consisting of conducting tutorial sections and performing marking duties for undergraduate courses The total number of hours per term will be 120 and the total stipend as of 2004 is $8,400 per year ($4,200 per semester for semesters) The bulk of the Teaching Assistantships will be available in the Fall and Winter semesters, with some being available in the Spring/Summer semesters The Research Assistantship, which is provided from the research grants of the student’s supervisor, funds the student at an expected level of $7,600 per year Each faculty member in the graduate program will have research funds available from NSERC Discovery Grants, other grants from government funding agencies, from university start-up grants, and from other funds coming from industrial partners and from academic organizations such as SHARCNET The duties of the student will be principally to conduct scholarly activities related to their thesis or research project, but may also include assisting their supervisor on related research projects In summary, students obtaining a Graduate Assistantship will receive a minimum financial M.Sc in Modelling and Computational Science page 63 support of $16,000 per year ($5,333 per semester), provided from a combination of Teaching and Research Assistantships This is comparable to the funding currently provided to Master’s students registered in similar programs at several other universities in Ontario Anticipated Availability of Teaching Assistantships: As outlined above, we expect the proposed graduate program to have, at steady-state, approximately 29 graduate students Of those, it is reasonable to expect that at least 25 will want to gain experience as teaching assistants, whether through the Graduate Assistantship program or as a complement to other sources of funding Because these students cannot on average more than 10 hours of teaching assistantship per week (as specified by OCGS), this workforce will account for at least 250 hours per week of tutorial time For Fall 2005 and Winter 2006, undergraduate Mathematics, Statistics and Physics courses given by the Faculty of Science will require 300 hours/week of tutorial given by teaching assistants This will increase to 450 hours/week when courses for all undergraduate years will be offered Therefore, it is expected that graduate students in the program will be able to satisfy many of the tutorial hours needed in the Physical Science courses of the Faculty of Science UOIT Graduate Research Awards in Modelling and Computational Science: We will offer several Graduate Research Awards in Modelling and Computational Science to students who have strong research potential The goal of these awards is to attract strong graduate students to the program and to provide a level of prestige for the recipient At steady state, an amount of $87,000 (calculated as an average of $3000 per student registered in the program) will be available each year for Graduate Research Awards The financial support of the students receiving the award may be supplemented by research and teaching assistantships A competition based on academic excellence will determine the recipients and the value of the Graduate Research Awards in any given year International Student Tuition-fee Waivers: It is important to attract international students to the program, in order to increase the visibility of the graduate program and of the University abroad International students successfully completing the graduate program will be excellent ambassadors for UOIT in promoting the program, and in promoting UOIT in general to potential students as well as to the academic community Moreover, whether they continue their academic career or enter the job market in non-academic fields, they will enhance the reputation of UOIT For these reasons, we think it is critical to attract international students To this end, as part of the Graduate Research Award program, we are planning to offer partial tuition waivers to the strongest international students with excellent research potential, in order to offset the differential between the high international tuition fee and the domestic fee In addition to tuition-fee waivers, international students will be eligible for other UOIT Graduate Research Awards Director of Graduate Studies: A teaching relief of course per year is required for the faculty member who will be Director of Graduate Studies for the program The role of the Director will be to coordinate all the activities regarding the proposed graduate program The duties include coordinating the Seminar Series on Modelling and Computational Science in which the graduate students will participate, coordinate the acceptance of students with the Registrar’s Office M.Sc in Modelling and Computational Science and chair committees such as those responsible for awarding the UOIT Graduate Research Awards and Graduate Research Assistantships page 64 M.Sc in Modelling and Computational Science page 65 Summary of Revenue and Expenditures for the Master’s program in Modelling and Computational Science Revenue and Enrolment Projections M.Sc Modelling and Computational Science (4/3 BIU per semester) Assume: September intake Assume: 90% of students continue to second year Assume: 50% of students take semesters (no second summer), 50% take semesters 2006-07 2007-08 2008-09 2009-10 2010-11 Year (Domestic) Year (International) Year (Domestic) Year (International) Total (Domestic) Total (International) Total Students BIUs Total Revenue $515,432 $179,807 $515,432 10 32.00 11 18 23 67.33 12 10 22 29 81.33 12 11 23 31 84.67 $393,353 12 11 23 31 84.67 $487,093 Expenditures FT Faculty Core: Courses $79,988 $79,988 $79,988 $79,988 $79,988 Electives: Courses* $79,988 $133,313 $133,313 $133,313 $133,313 Director of Graduate Studies $26,663 $26,663 $26,663 $26,663 $26,663 Sub-Total $186,638 $239,963 $239,963 $239,963 $239,963 * in first year of program Equipment Costs Graduate Research Awards $0 30,000 Total Expenditures $332,963 $216,638 $332,963 Expenditures as % of revenue 64.60 Assumptions: Tuition (Domestic) = $0 $0 $0 $0 $69,000 $87,000 $93,000 $93,000 $308,963 120.48 78.55 $326,963 67.13 $5,400.00 64.60 4 M.Sc in Modelling and Computational Science Tuition (International) = $11,000 BIU value (incl 15% reduction) = 4/3 BIU per domestic student per semester One student = FFTE Average scholarship (GRA) per student = No inflation factor is used page 66 $3,581.48 $3,000 Average salary for FT faculty member is $90,000 plus 18.5% benefits (full teaching load: courses) Director of Graduate Studies receives course teaching reduction No equipment costs are included for the moment because these will be covered by research grants M.Sc in Modelling and Computational Science page 67 Appendix A Entry requirements for Ph.D programs Details of entry requirements to Ph.D degrees in Mathematics, Physics, Chemistry and Computer Science for various universities in Canada and abroad are listed For each, we indicate that students graduating from the proposed Master’s program meet the entry requirements  Mathematics University York University Degree Ph.D in Mathematics Entry Requirements A Master's degree or must have completed one year of comparable work with a B+ average (high second class) or better letters of reference List of upper-level undergraduate and graduate courses in mathematics and statistics University of Waterloo Ph D in Applied Mathematics a Master's degree in a mathematics-related discipline; three letters of reference completion of a Master's thesis; McGill University Massachusetts Institute of Technology (MIT) Ph.D in Mathematics Ph.D in Mathematics Obtain a M.Sc with high standing Approval of the department letters of reference the applicant's grades the applicant's own statement of goals the GRE (general exam and math subject test) M.Sc in Modelling and Computational Science  page 68 Physics University University of Ottawa Degree Ph.D in Physics Entry Requirements M.Sc degree in Physics or its equivalent First or upper second class honours degree in Physics or Engineering Physics Queen’s University Ph.D in Physics University of British Columbia Ph.D in Physics M.Sc or M.A.Sc (or equivalent degree from an accredited university-level institution), with at least an 80% average (3.5 GPA) California Institute of Technology Ph.D in Physics three letters of recommendation transcripts, GRE general and subject scores statement of purpose M.Sc in Modelling and Computational Science  page 69 Chemistry University University of Toronto Degree Ph.D in Chemistry Entry Requirements Hold the equivalent of a University of Toronto Four-year B.Sc or M.Sc degree in Chemistry (or a related discipline) with academic standing of at least A- and demonstrate significant potential in research Students in the Master’s program may direct-transfer to the Doctoral program upon completion of one year of study with satisfactory performance (i.e., academic standing of at least A-) McMaster University Ph.D in Chemistry An M.Sc degree in Chemistry (or the equivalent), or a B.Sc degree in Chemistry combined with a strong academic record Université de Montréal Ph.D in Chemistry Cornell University Ph.D in Chemistry Master degree in Chemistry or any degree judged equivalent Statement of Purpose letters of reference Official Transcripts Recommended GRE scores: Quantitative, Verbal and Analytical test: 1900 Advanced Test Chemistry: 850 in M.Sc in Modelling and Computational Science  page 70 Computer Science University University of Waterloo Degree Ph.D in Computer Science Entry Requirements Master in Computer Science letters of reference Statement of Research Interests McMaster University Ph.D in Computer Science The equivalent of McMaster's M.Sc degree in Computer Science with at least a B+ average Outstanding applicants with a Master's degree in other fields such as Engineering, Mathematics, or Science who have substantial Computer Science background will be assessed University of Alberta Ph.D in Computer Science Typically admitted only if they hold a M.Sc degree in computer science faculty member agrees to serve as their PhD supervisor University of Illinois at Urbana-Champaign Ph.D in Computer Science letters of reference Applicant with graduate degree must have GPA of at least "B" Most applicants to the MS or PhD program hold a bachelors or masters degree in computer science, computer engineering, or a related area with a sufficient computer science component Take GRE test M.Sc in Modelling and Computational Science page 71 Appendix B Library resources, statement from Carol Mittlestead, Associate Librarian LIBRARY SUBMISSION TO ONTARIO COUNCIL OF GRADUATE STUDIES (OCGS ) FOR: THE MASTER ’S PROGRAM IN MODELLING AND COMPUTATIONAL SCIENCE University of Ontario Institute of Technology (UOIT) Compiled by: Carol Mittlestead, B.A (Hon.), M.L.S., Associate Librarian Introduction: With respect to the University of Ontario Institute of Technology’s Master of Science in Modelling and Computational Science degree within the Faculty of Science, the following document discusses the Library in relation to the collection; the accessibility of resources and services; and research support, staffing, and partnerships The collection is defined as including both the traditional paper book or periodical, and the more nontraditional –but increasingly common-electronic index, book or journal database Librarian recommended web sites are also a unique part of the collection in that they direct students and staff to valid academic sources Accessibility addresses the physical presence of the Library, onsite reference assistance, the Library web page www.uoit.ca/library as a 24/7 portal, and interlibrary loan and document delivery Research support, staffing, and partnerships emphasize the Library’s role in teaching students, liaising with faculty, and connecting with government and corporate agencies Collections: It is understood that the Library’s acquisition plan must be based on evolving pedagogical needs as determined by the academic schools In close liaison with the Deans and Professors, subject specialist Librarians will define collection development strategies for the ongoing curriculum-based purchase of resources as well as for the evaluation and review of existing material Books: The Library offers a small but comprehensive collection At present, there are approximately 65,000 volumes on the shelves In mid-August, however, the Library took possession of its new building (described below) and this additional space will allow for the relatively quick expansion of the collection to 160,000 texts Currently, there are approximately 7,000 volumes focusing on mathematics, biology, chemistry, and physics Since many programs at UOIT have a scientific and/or technological emphasis, continued investment in these subject areas is planned The goal is to increase this collection by 2,000 volumes per year for several successive years with a projected cost of $400,000 to $450,000 per annum (e.g 9, 000 books for September 2005, 11,000 books for September 2006 etc.) Several of these purchases would be specific to the field of Modelling and Computational Science (e.g Markov processes, stochastic calculus, Monte Carlo methods, numerical and complex analysis, partial differential equations, data structures and algorithms) The Library has taken special note of the three core program courses—Mathematical Modelling, Numerical Analysis, and High- M.Sc in Modelling and Computational Science page 72 Performance Computing—and of the Faculty of Science’s relationship with the School of Energy Systems and Nuclear Science in delivering this Master’s degree Books are selected by a Subject Specialist Librarian and in consultation with Faculty In fact, Faculty who will be teaching in the Modelling and Computational Science program have already submitted a list of pertinent texts Titles are now being reviewed, and those that have relevance to other UOIT courses will be purchased immediately with the others being acquired upon Program approval The majority of Library selections are made directly from titles offered by noteworthy academic publishers (e.g Wiley, CRC Press, Sage, Elsevier, Academic Press, Addison-Wesley, Kluwer, Springer-Verlag, Pearson Prentice Hall) and/or from Blackwell’s Book Services, an arrangement that allows for the simultaneous purchase of titles from a wide array of vendors The importance of specialty publishers for both print and online documents is also, however, recognized The Library will access and/or purchase as necessary standards, proceedings, and technical reports from key scientific, computing and engineering organizations Example sources include SIAM (Society for Industrial and Applied Mathematics), CAIMS (Canadian Applied and Industrial Mathematics Society), Center for Applied Probability (Columbia University/Springer-Verlag), CSA (Canadian Standards Association), ACM (Association for Computing Machinery), IEEE (Institute of Electrical and Electronics Engineers), and NRCCISTI (National Research Council – Canada Institute for Scientific and Technical Information) With over 13,000 titles (not included in the total above), e-books are an integral part of the UOIT library collection Currently, Access Science (McGraw-Hill) and the Encyclopedia of Materials Science and Technology (Elsevier) are the e-book databases most likely to interest Modelling and Computational Science students and faculty Especially given UOIT’s commitment to the laptop university concept, the Library’s e-book collection is destined to grow Periodicals: As of October 2004, the Library provided access to over 1,900 science journals with 805 of these specifically addressing mathematics and computer science Journals are available as traditional paper subscriptions, single electronic titles (e.g Science) or as one of several titles within an electronic database Amongst the relevant databases are: ACM (American Computing Machinery) Digital Library, AIP (American Institute of Physics), Ebsco Academic Search Premier, Ebsco Inspec (IEE-Institution of Electrical Engineers), IEEE Xplore (Institute of Electrical and Electronics Engineers), Nature and Nature Reviews, Proquest Science Journals, and Proquest Wilson Applied Science and Technology Abstracts Please note that the numbers stated above not include the 2,228 conference proceedings and standards that are also provided within the IEEE Xplore database along with the journals published by the Institute of Electrical and Electronics Engineers MathSciNet (AMS – American Mathematical Society) is also being investigated, and given the approval of the Modelling and Computational Science Program, this database would be a definite addition to the Library’s electronic resource collection Likewise, it has been noted that while Ebsco Academic Search Premier provides full text access to the SIAM suite of journals from 1997 onward, there is a 12 month delay or embargo in releasing current issues Again, once the Program is approved, the Library will also subscribe directly to SIAM to ensure that faculty and students have immediate electronic access to the most recent journal articles too Since demand is minimal at present, the ILL (Interlibrary Loan) process is now being employed to meet user needs As a recent member of the OCUL (Ontario Council of University Libraries) and CRKN (Canadian Research Knowledge Network—formerly CNSLP (Canadian National Site M.Sc in Modelling and Computational Science page 73 Licensing Project)) consortia, the UOIT Library will continue to increase its periodical offerings over the next academic year through this venue as well The Library is already an active participant in the Ontario Scholars Portal (OSP or scholarsportal.info), an OCUL initiative that consolidates the electronic periodical holdings of several well-respected publishers (e.g Wiley, Kluwer, Cambridge University Press, American Psychological Association) to provide a singleaccess search gateway, and by January, it is anticipated that the entire CRKN suite (e.g Elsevier, Springer, ISI-Web of Science) will be available to all UOIT faculty and students Examples of additional full text journal titles that will be available include: Physica D: Nonlinear Phenomena, Journal of Computational Physics, Applied Mathematical Modelling, Applied Numerical Mathematics, and Chemical Physics Following the mandate of the University of Ontario Institute of Technology as a laptop university with “round the clock” accessibility to resources, whenever possible, the Library will purchase significant holdings to a journal in electronic format It is, however, realized that paper copies may sometimes be essential, and must be purchased accordingly Internet: While the prevalence and importance of the Internet is recognized, it is also realized that not all information on the Internet is of equal value and/or prominence, and that not all people have equal search skills The Library, therefore, strives to make staff and students aware of quality web sites appropriate to their Program Listings of recommended web sites are part of the Library Faculty Guides that are prepared with each UOIT program in mind Posted on the Library web site www.uoit.ca/library , these Faculty Guides are discussed in detail under “Accessibility” For example, relevant sites include: EEVL (Edinburgh Engineering Virtual Library): Internet Guide to Engineering, Mathematics and Computing; Historical Math Monographs (Cornell University Library); Math Forum (Drexel University); and Mathworld (Wolfram Research Inc.) Accessibility: The Building: A new state-of-the-art, 55,000 square foot Library was opened in August 2004 The intent of the design is to create a print/electronic library that accommodates new and emerging technologies without sacrificing the personal warmth of a traditional library The building offers various types of study and activity spaces to accommodate different learning styles and user needs These spaces include:  Quiet public study spaces as well as a formal Reading Room, all within a “wireless” environment  Collaborative learning spaces for groups of various sizes  Common spaces and public service research workstations that facilitate intellectual interaction and engagement  Electronic classrooms for regular ongoing educational sessions on library resources and research strategies  Attractive and appealing display areas for art and library exhibitions  Special needs adaptive technology equipment M.Sc in Modelling and Computational Science page 74 Staff, students and faculty have welcomed this new building with its seating for over 500 patrons and 130 public access workstations with Internet access The grand opening is scheduled for October 29, 2004 ON CAMPUS REFERENCE ASSISTANCE : Reference services are provided by professional librarians for 68 hours of the 89 hours per week that the Library is physically open or 76.5% of the time Librarians liaise with professors so classes specific to student research topics can be offered Both staff and students are also welcome to make individual or small group appointments with Librarians Library Web Page: The Library web page is available at www.uoit.ca/library and is accessible 24 hours a day, seven days a week A Library e-mail address is provided as well as telephone information so individuals can leave messages at any time In collaboration with other Ontario University Libraries, the Library is also currently investigating a web-based service such as the Virtual Reference Desk (www.lssi.com) which uses chat software to deliver reference service to users regardless of time and location The Librarian can “push” pages to patrons so they can literally see both the steps involved and the results achieved with a given search Consequently, this technology promises to be more effective than e-mail and telephone Beginning with limited hours and an after-hours e-mail default, the ultimate goal is to make virtual reference a “round the clock” service General reference assistance is provided through Library web page sections that explain topics such as computer search techniques, article searching, Internet evaluation, and bibliographic citation Amongst the services outlined are circulation procedures, reserves, and interlibrary loan What makes the UOIT Library web page truly unique is its Faculty Guides Prepared with each program in mind for a particular Faculty, every Guide outlines and links to pertinent Electronic Databases and Indexes; provides sample listings with links to relevant journals along with subject headings for further investigation; highlights the Catalogue with suggestions from the Reference collection; describes and links to the most appropriate E-book databases; and offers Recommended Web Sites These Guides are indeed resource portals Interlibrary Loan and Document Delivery: Interlibrary Loan is available free of charge to students and faculty Individuals have the option of making their requests online or in person RACER (rapid access to collections by electronic requesting) is a VDX (Virtual Document Exchange) interlibrary loan system currently being implemented in OCUL member libraries Students and faculty can search the catalogues of all Ontario university libraries and place immediate online requests for any available item The system populates the request automatically with the bibliographic information from the record chosen, and a patron name, i.d number, and e-mail address are all that need to be added to the online form As part of OCUL and the IUTS (Inter University Transit System), the Library now receives book loans in a very reasonable amount of time, and Ariel, an electronic transmission system for periodical articles, allows journal requests to be filled within a few days Faculty and students from UOIT may also visit any of Ontario’s university libraries and may borrow books directly from them upon presentation of their UOIT photo identification card Materials may be returned directly to the lending library or may be left at the UOIT Library where they will be returned to the appropriate lending library M.Sc in Modelling and Computational Science page 75 Since postgraduate science programs are being discussed here, the borrowing restrictions that the University of Toronto Libraries have on undergraduates are obviously not applicable Interlibrary Loans and document delivery are also available from other lending institutions (e.g CISTI or libraries outside the province of Ontario) as required Research Support, Staffing and Partnerships: The following strategies are established and/or being developed: As described above, the Library as part of a newly formed institution (June 2002) has already made significant progress in terms of collection development, instruction and resource accessibility Continued efforts will be made to improve and expand information services As professors arrive on the UOIT campus, librarians are meeting with them to identify their teaching and research objectives A professionally qualified librarian (M.L.S.) with subject expertise in the sciences and health sciences joined the UOIT Library staff in August 2002 Given the anticipated appearance and evolution of more UOIT postgraduate programs, the hiring of a Graduate Studies Librarian will occur within the next two years The importance of liaising with the UOIT Centre for Academic Excellence and Innovation (CAEI), a facility where faculty are introduced and mentored in the use of instructional technology such as computerized teaching packages, presentation software, web development, and distance learning delivery is recognized This would ensure that the Library’s resources, in digital format, are included amongst the links for courses developed within the Faculty of Science A link to the Library Web Page Faculty Guides from each student’s “My WebCT” template is planned The Library will connect to national and global resources (e.g Ontario Power Generation (OPG), General Motors Corporation (GMC)) that both enhance student employment opportunities and that support high levels of applied scholarly research The Library is indeed preparing for the University of Ontario Institute of Technology’s initial postgraduate degree offerings, and lends its support to the resource and research needs of both faculty and students CM October 21, 2004 ... Program Map for Course-based option: Year- Semester 1-1 1-2 Course Mathematical Modelling MCSC 6010G High-Performance Computing MCSC 6030G 1-3 Research Project 2-1 Elective 2-2 Research Project... Theory, various NDO-approaches, AM1 & PM3 Include electron-correlation into MO Theory via Multi-Configuration Self-Consistent Field, Multi-Reference Configuration-Interaction, Coupled-Cluster methods... John Wiley & Sons, 1979 ISBN 0-4 7 1-0 4492-XJ Proposed textbook requirements: Transport Theory J.J Duderstadt & W.R Martin John Wiley & Sons, 1979 ISBN 0-4 7 1-0 4492-X M.Sc in Modelling and Computational