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Complementary studies electives for Level 1 students can be found here. Three lectures, one tutorial (two hours), second term Prerequisite(s): Registration in Level III or IV of any Computer Science program All first-year Science courses will be delivered virtually for Winter 2021. 24614, Offices closed daily from 12:00pm to 1:00pm, List E: Software Engineering Technical Electives, List D : Software Engineering and Society Technical Electives, Latest information and updates about COVID-19 (coronavirus) from McMaster University, McMaster Engineering online privacy policy, Discrete Mathematics for Computer Science, Computer Science Practice and Experience: Development Basics, Computer Science Practice and Experience: Introduction to Software Design Using Web Programming, Discrete Mathematics with Applications II, Computer Science Practice and Experience: Software Development, Computer Science Practice and Experience: Binding Theory to Practice, Software Requirements and Security Considerations, Computer Science Practice and Experience: Operating Systems, Theoretical foundations of Computer Science, Understand how to compose sound programs in modern programming languages, Understand Software Design and Software Management, Understand the needs of modern Software systems including the internet and the World Wide Web, Select freely from 30 units (10 courses) in other subjects to tailor your education to your interests. 525-9140 ext.24116 Email: cse@mcmaster.ca, School of Computational Science and An introduction to modern scientific programming providing a background to such topics as binary systems, Unix and Windows based operating systems, parallel and distributed computing, and popular programming languages. Three lectures, one tutorial (one hour); one term Three lectures, one tutorial (one hour); first term We focus on computing research problems that involve scientific theory, engineering practice, and the interface between the two. Two lectures, one lab (three hours per week), first term Co-op Programs Program Overview. Three lectures, one tutorial (one hour); second term Three lectures, one tutorial (two hours); first term Antirequisite(s): COMPSCI 3CN3, 3C03, SFWRENG 4C03, COMPENG 4DN4 Computer sector jobs have grown 338% since 1990, according to a Pew Research Center study. The total population of students in the … Cross-list(s): SFWRENG 4TH3 Prerequisite(s): COMPSCI 2C03 or SFWRENG 2C03, COMPSCI 2AC3 or 2FA3 or SFWRENG 2FA3. Prerequisite(s): One of STATS 2D03, 2MA3, 3N03 or 3Y03 Two lectures, two labs (two hours each); second term Three lectures, one tutorial (one hour); first term Due to the COVID-19 provincial lock-down, all students who were expecting in-person labs, should check their McMaster e-mail for important winter announcements.. More Information. Cross-list(s): SFWRENG 4F03 Antirequisite(s): SFWRENG 2XB3 The admissions criteria are very flexible and allow students from other programs to transfer into the Computer Science program. Information security, computer and network security threats, defence mechanisms, encryption. Effective 2021-2022, this course will be offered in first term. Completion of COMPSCI 3N03 or 4C03 is recommended. Offered on an irregular basis. Antirequisite(s): SFWRENG 2AA4, SFWRENG 3K04, MECHTRON 3K04 Skip to Content. Critical systems requirements gathering. Prerequisite(s): COMPSCI 2C03, 2FA3, 2ME3 Prerequisite(s): COMPSCI 2AC3 or 2FA3, COMPSCI 2ME3 McMaster University: Faculty: Faculty of Engineering: Degree: Bachelor; Honours: Field of Study: Computer Science: Description: The Honours Computer Science program offers courses designed to develop students into highly knowledgeable and skilled systems analysts, database specialists, software developers, and system administrators. Two lectures, two labs (two hours each); second term Minors consist of at least 24 units of course work (normally with no more than six units from Level I). Introduction to the fundamentals of functional programming. Prerequisite(s) (EFFECTIVE 2021-2022): COMPSCI 1XC3 and 1XD3 Cross-list(s): SFWRENG 4HC3, Modelling and solutions for engineering and science problems using linear optimization, including networks, transportation, assignment, and scheduling problems. Prerequisite(s): MATH 1B03 or MATH 1ZC3 or registration in the Honours Computer Science as a Second Degree (B.A.Sc.) Three lectures, one tutorial (one hour); first term Offered on an irregular basis. Unix and shell programming, makefiles, version control; assembly basics, translating high-level language into assembly, parameter passing, arrays, recursion; compiling, debugging, profiling, and software optimizations. When solving Hamiltonian systems, particles can be considered to be a Monte Carlo type realization of characteristics making up the phase space. Sets, functions, relations, trees and graphs; counting principles, modular arithmetic, discrete probabilities; induction and recursion, recurrence relations. This course will cover the technical, financial, legal and operational issues encountered by software startups. Prerequisite(s): One of COMPSCI 1MD3 or ENGINEER 1D04 Basic data structures: stacks, queues, hash tables, and binary trees; searching and sorting; graph representations and algorithms, including minimum spanning trees, traversals, shortest paths; introduction to algorithmic design strategies; correctness and performance analysis. Prerequisite(s): COMPSCI 2SD3 or 3SD3, COMPSCI 2C03, and COMPSCI 2GA3 Prerequisite(s): COMPSCI 2C03, and COMPSCI 2LC3 or 2DM3, and COMPSCI 2AC3 or 2FA3, and COMPSCI 2ME3, Software requirements gathering. McMaster University offers Arts & Science Programs and six departments/faculties including the faculties of Health Sciences, Science, Humanities, Social Sciences and Engineering and the DeGroote School of Business. Offered on an irregular basis. Three lectures; one tutorial (one hour); first term Offered on an irregular basis. Last offered 2020-2021. Issues in starting up a new software enterprise, with the focus on independent startups. Three lectures, one tutorial (one hour), second term Models of distributed computation, formal reasoning about distributed systems, time and message complexity, distributed agreement under adversarial attacks, distributed coordination and symmetry breaking, peer-to-peer computing, simulation as a tool for building more advanced functionality, actor-model programming. Co-requisite(s): COMPSCI 2C03, 2ME3 Antirequisite(s): COMPSCI 1XA3. Fundamental concepts of programming: expressions, statements, procedures, control structures, iteration, recursion, exceptions; precise memory model of traditional imperative programming languages; basic data structures: records, arrays, dynamic structures; use of libraries. Cross-list(s): SFWRENG 4TE3 Prerequisite(s): COMPSCI 2ME3 or SFWRENG 2AA4; completion of COMPSCI 2DB3 or 3DB3, 3IS3, or 3N03 or 4C03 is recommended. Antirequisite(s): SFWRENG 4AD3 Graduate school is also an option for those who want to further deepen their understanding of computing. Three lectures; one term Ranked amongst the Top 100 universities in the world, McMaster pioneered a learner-centred, problem-based, interdisciplinary approach to learning that is now known worldwide as the “McMaster Model”. Please note not all courses are offered every year. Survey of the salient ideas, methods, and technologies in the major areas of computing including basic data types, logic, operating systems, computer networking, web computing, information security, digital media, software development, and problem solving techniques. Due to the COVID-19 provincial lock-down, all students who were expecting in-person labs, should check their McMaster e-mail for important winter announcements.. More Information. Computer science majors usually focus on advanced theory and practice of computer science. It is an on-campus, thesis-based program available with both full-time and part-time options. Prerequisite(s): MATH 1ZC3 or MATH 1B03 or registration in the Honours Computer Science as a Second Degree Program Close. Cross-list(s): SFWRENG 4E03. In addition to solution techniques for large linear systems, this module will also review the computational techniques of eigenvalue and singular value problems, various decompositions (LU, Cholesky), and linear least square problems. An introduction to scientific computing, modeling, and numerical methods covering such topics as Taylor series and truncation errors, numerical differentiation and integration, constrained optimization, and solving sets of: linear equations; linear algebraic equations; ordinary differential equations; and partial differential equations. McMaster is home to international students coming from 120 countries across the world. Cross-list(s): SFWRENG 4AD3 Task-oriented design. Computer system organization: datapath and control, pipelining, memory hierarchies, I/O systems; measures of performance. This module presents an overview of techniques for symbolic computation applied to solving linear equations, analytic and automatic differentiation and integration of functions, and analytic solution of differential equations. Three lectures, one tutorial (one hour); first term Antirequisite(s): COMPSCI 1FC3, SFWRENG 2DM3 Introduction to logic gates, computer arithmetic, instruction-set architecture, assembly programming, translation of high-level languages into assembly. Prerequisite(s): One of MATH 1K03, 1LS3, Grade 12 Advanced Functions and Introductory Calculus U, Grade 12 Calculus and Vectors Functional programming; lists and algebraic data types, pattern matching, parametric polymorphism, higher-order functions, reasoning about programs; lazy and strict evaluation; programming with monads; domain-specific languages. Offered on an irregular basis. Prerequisite(s): COMPSCI 2C03 Minors are available if you are enrolled in four- or five-level programs (exception: Medical Radiation Sciences). Co-requisite(s): COMPSCI 2S03 Parallel architectures, design and analysis of parallel algorithms; distributed-memory, shared-memory and GPU computing; communication cost, scalability; MPI, OpenMP and OpenACC; tuning parallel programs for performance. Last offered 2020-2021. Formal languages, models of computation, decidability, reduction techniques, time and space complexity classes. Earning your master’s degree with the pioneering University of Illinois faculty is an ideal way to launch and advance a successful data science or computer science career. You are able to take any of these courses on the list. Last offered 2020-2021. The University of Bath recognises the importance of developing elite computer science professionals, and this course offers you the chance to upgrade your know-how and switch up your career, no matter if you want to be a software developer or a technical analyst. The uses of particles for numerical simulations of physical systems. Interface design tools. Antirequisite(s): SFWRENG 3O03, 4O03 Computer Science graduates find employment in a wide variety of industries, from large companies in banking, insurance, retail, and software, through to medium sized-firms, but also start-ups. This module provides an introduction to the general theory of the finite element method; formulation of finite elements; construction and optimization of meshes for finite elements and the treatment of boundaries. Learn more about extracurricular involvement. Students will acquire the skills necessary to operate, debug and modify existing parallel codes and available libraries (such as PDE solvers) using these standard approaches for various applications. Letter from the Dean. Principles of good interface design. Solution methods include combinatorial algorithms such as simplex methods, primal-dual formulations, branch and bound formulations for mixed integer programming, and heuristics. Fundamental algorithms and duality concepts of continuous optimization. Please refer to the Engineering section of the Undergraduate Calendar for the details. Learn more about Computer Science Careers Prerequisite(s): COMPSCI 3DB3 Prerequisite(s): One of MATH 1K03, Grade 12 Advanced Functions and Introductory Calculus U, Grade 12 Calculus and Vectors, or registration in Computer Science 1, Introduction to fundamental programming concepts: values and types, expressions and evaluation, control flow constructs and exceptions, recursion, input/output and file processing. Cross-list(s): SFWRENG 4X03, Directed readings in an area of computer science of interest to the student and the instructor. Offered on an irregular basis. Advance your career with a master's from a top-5 computer science school. Each track comprises five mandatory core courses – relating to Computer Science in general and your track specifically – plus certain restricted choices and electives. Design principles that enhance security. Traceability of requirements. Prerequisite(s): Credit or registration in COMP SCI 3MH3 or COMPSCI 3SH3 Effective 2021-2022, this course will be offered in first term. Prerequisite(s): MATH 1B03 or 1ZC3, and COMPSCI 2C03 This program combines a strong course component with a research thesis. The program focused on advancing knowledge in computational theory and practice through intensive computing research problems that involve scientific theory and engineering practice. Security requirements. Three lectures, one tutorial (one hour); first term Topics may include the use of parallel debuggers and profilers, optimization of numerically intensive codes for specific architectures, novel hardware (e.g. The Undergraduate Co-op Program is administered by the Engineering Co-op and Career Services Department (ECCS). Design of user interfaces. Prerequisite(s): Registration in Level IV of an Honours Computer Science program, Honours Business Informatics or Honours Computer Science as a Second Degree (B.A.Sc. Effective 2021-2022, this course will be offered in first term. It is the usual (but not mandatory) entry point for students who wish to do a Ph.D., but is also the program of choice for students who want to find challenging and exciting jobs after their master's. Cross-list(s): SFWRENG 3O03. Antirequisite(s): SFWRENG 4TE3 Choose a data science (MCS-DS) or computer science (MCS) program, and apply today. The program is built around three core areas: computing fundamentals, software design, and systems. Computer science offers a unique combination: scientific and interdisciplinary study; the growth prospects of a multi-billion dollar industry; and the ability for individuals to make a difference. See requirements for Computer Science 1. If you wish to apply, please contact your department graduate administrator. Prerequisite(s): COMPSCI 1MD3 or ENGINEER 1D04 or IBEHS 1P10 Sparse matrix techniques and various parallelization strategies will be considered. GPGPU cards) and related languages such as CUDA, mixed use of threads/Open MP and message passing/MPI, issues with extreme parallel scaling such as I/O and fault tolerance and parallel languages such as CHARM++. Processes and threads, synchronization and communication; scheduling, memory management; file systems; resource protection; structure of operating systems. Skip to Content. Markov models. Three lectures; two terms More Information. Antirequisite(s): COMPSCI 4DB3, SFWRENG 3DB3, 3H03, 4M03, 4DB3 Three lectures, one tutorial (one hour); second term McMaster University’s Undergraduate and Graduate Calendars are its official repository for degree, program, and course requirements, along with the rules, regulations, policies, fees, and information about financial aid and scholarships. Prerequisite(s): COMPSCI 2AC3 or 2FA3, 2C03 ), Stefanie Bittcher  Administrative Assistant Phone:  (905) 525.9140 ext. Topics include artificial intelligence, algorithms, machine learning, and software architecture and design. Computer arithmetic, stability, sensitivity. Prerequisite(s): COMPSCI 2S03, COMPSCI 2XA3 Three lectures, one tutorial (two hours), first term Topics will include: Algebra: bases, vector spaces, sets of linear equations, matrices, linear transformations; Calculus: limits, derivatives, integration, vector calculus; Differential equations: separable equations, integrating factors, first order linear equations; Series: Taylor series, Fourier series and transforms, Laplace transforms; Probability and Statistics: discrete random variables, continuous random variables, and probability density functions. An introduction to the mathematical tools of scientific computing. Human cognition (memory, perception, motor systems). Skip to Content. The Honours Computer Science program offers courses designed to develop students into highly knowledgeable and skilled systems analysts, database specialists, software developers, and system administrators. Prerequisite(s): One of COMPSCI 2C03 or SFWRENG 2C03 or SFWRENG 2MD3, and one of COMPSCI 2SD3 or 3SD3 or SFWRENG 3BB4 or SFWRENG 3SH3 Bachelor of Applied Science (B.A.Sc Co-op Optional). Functions, relations and sets; the language of predicate logic, propositional logic; proof techniques, counting principles; induction and recursion, discrete probabilities, graphs, and their application to computing. Antirequisite(s): SFWRENG 4F03 Our Master of Science in Computer Science – MSc (CS) enables students to acquire advanced skills and a high-level education. Three lectures, one tutorial (one hour); first term Telephone: +1 (905) Antirequisite(s): COMPENG 2SH4, 2SC3, SFWRENG 2MP3, 2S03 experience in formal specification and tool-supported verification. Issues for programming finite element codes including parallelization are in the focus as well. Entrepreneurial students can get help with their start-ups through some courses and The Forge, affiliated with McMaster. Two lectures, one lab (three hours), second term Antirequisite(s): SFWRENG 4D03, 4HC3 Antirequisite(s): SFWRENG 2C03 Open-ended design of computational solutions to practical problems that involve both theoretical (algorithmic) analysis and implementation; solving computational problems through an experiential approach. McMaster’s Department of Computing and Software advances the field of computing through education and research. Courses marked with an asterisk (*) are half courses. Applications include hydrodynamics, gravitational and molecular dynamics, and protein folding and computational materials. Prerequisite(s): MATH 1AA3 or 1ZB3, and MATH 1B03 or 1ZC3 Completion of all non-elective Computer Science I courses with a minimum Grade Point Average of 4. McMaster University’s Undergraduate and Graduate Calendars are its official repository for degree, program, and course requirements, along with the rules, regulations, policies, fees, and information about financial aid and scholarships. Antirequisite(s): COMPENG 3SK3, 3SK4, SFWRENG 3X03, 4X03 The Computer Science program is built on four columns: This design philosophy ensures that our students understand the fundamentals and gives them the key advantage in today's job market. All first-year Science courses will be delivered virtually for Winter 2021. Basic principles of information security; threats and defences; cryptography; introduction to network security and security management. 27 months. To Students, Faculty and Staff... Read the letter. - 4:30 p.m. Telephone: +1 (905) 525-9140 ext.24116 Email: Antirequisite(s): SFWRENG 4E03 Prerequisite(s): COMPSCI 1JC3 and 1MD3 Prerequisite(s): COMPSCI 1FC3 or COMPSCI 2DM3 Prerequisite(s): COMPSCI 1DM3 or 2DM3; COMPSCI 1XC3 or 1XD3 or 1MD3 Popular Computer Science Courses. Antirequisite(s): COMPENG 2SH4, COMPSCI 1XA3, 2XA3, 2S03, SFWRENG 2MP3, 2S03, 2XA3, Introduction to different aspects of design: Identifying user needs, goals and desires and translating them into software, and structuring and communicating the structure of software to improve reliability, readability and adaptability. Prerequisite(s): COMPSCI 2C03 This course will provide an introduction to the use of graphics to visualize research data (grids, meshes, particles) in two and three dimensions. Offered on an irregular basis. Three lectures, one tutorial (one hour); one term Offered on an irregular basis. Prerequisite(s): COMPSCI 2SD3 or credit or registration in COMPSCI 3SD3. This course exposes the graduate students in software engineering, computer science, or … This module reviews the theoretical foundations and various implementation issues concerning the use of iterative methods. McMaster University offers MSc in Computer Science for a duration of 2 years. Latest information and updates about COVID-19 from McMaster University:   COVID-19 Website. Motivation, applicability, information requirements and computational cost of the algorithms is discussed. It will introduce OpenGL as a low-level mechanism to access hardware graphic acceleration as well as other popular toolkits such as vtk and provide experience with visualization tools built on these foundations. Offered on an irregular basis. Hybrid, symbolic-numeric methods will be considered as well. If you are interested in completing a minor, you should contact your academic advisor. Offered on an irregular basis. Modes and mode awareness problem. "My favourite thing about Computer Science in general is its interdisciplinary nature, in that I can apply my Computer Science degree to solve real-world problems across any industry. Numerical methods for these systems will be examined, including smoothed particles, symplectic time integrators, discreteness effects and parallelization strategies. Additionally, it prepares students for an accelerated master's degree. Prerequisite(s): One of MATH 2A03 or 2ZZ3 Help systems. Three lectures, one tutorial (one hour); first term Three lectures, one tutorial (one hour); second term Offered on an irregular basis. Software requirements quality attributes. Prerequisite(s): COMPSCI 1MD3 or ENGINEER 1D04 or IBEHS 1P10 Last offered 2022-2023. McGill students have their choice of 10 program options in computer science, with the option of … Antirequisite(s): SFWRENG 4TH3 Three hours (lectures, discussion, group project, seminars); first term Basic computability models; the Church-Turing thesis, complexity classes; P versus NP; NP-completeness, reduction techniques; algorithmic design strategies; flows, distributed algorithms, advanced techniques such as randomization. Verification, validation, and documentation techniques. Prerequisite(s): Credit or registration in COMPSCI 3RA3 or 3SR3 User experience design. Three lectures; one term In five practice and experience courses, the emphasis at McMaster is on lab-based exploration and discovery, including expanded coverage of practical topics such as profiling and tuning, and foundational topics such as operating systems and compilers. It intensively covers a broad range of the key principles and techniques of computer science. McGill’s School of Computer Science ranks second in Canada for research funding and has 34 faculty members, 60 Ph.D. students, and over 100 master’s degree students. Last offered 2020-2021. Antirequisite(s): COMPSCI 1FC3, 2DM3, SFWRENG 2DM3, 2E03, 2F03, Exploration of thinking that is inspired, supported, and enabled by computing. Specific course requirements for minors are set out in the program description in the Undergraduate Calendar. Modelling storage and network behaviour, locks, critical sections, concurrency. Network protocols underlying the world wide web; client-side programming: markup, styles, scripts, design, mobile/desktop; server-side programming: databases, dynamic languages; web services; cloud technologies; security.

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