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2016-2017 Academic Year
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Graduate Studies Courses of Instruction Computing


Computing
The actual courses offered each term will be determined by student demand and the availability of faculty. All courses are half courses. In addition to the courses listed below, descriptions of other courses offered by the school are given in the undergraduate calendars.
Graduate students in the school may include in their program relevant courses from other departments such as Electrical Engineering, Psychology, Mathematics, or the School of Business.
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CISC-801* Programming Skills and Tools for Processing of Biomedical Data
The objective of this course is to provide students hands-on training in computer programming languages and tools to familiarize them with the principles and practice of cutting edge technologies for bioinformatics used in biomedical and molecular sciences research. This course will span over four weeks and will consist of a combination of lectures and interactive computer labs. Specifically, students will acquire working knowledge of basic functions in Rand MATLAB for managing and pre- processing biomedical data, and use examples of real biomedical data to apply methods for identifying data outliers and gain skills for cloud computing.
PREREQUISITE: Admission in the Graduate Diploma (GDip [BI]) or Masters in Biomedical Informatics (MBI) or permission of the Program Coordinator.
EXCLUSIONS: none
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CISC-802* Biomedical Data Analysis
The objective of this course is to provide students with hands-on training in the analysis of biomedical datasets to familiarize them with the principles and practice of cutting edge technologies for bioinformatics used in biomedical and molecular sciences research. This course will span over four weeks and will consist of a combination of lectures and interactive computer labs. Specifically, students use examples of real biomedical data to apply methods for recognizing patterns, classify and extract features using supervised and unsupervised learning approaches, and grasp basic concepts in biostatistics and employ statistical algorithms for data analysis. PREREQUISITES: CISC-801* and admission in the Diploma in Biomedical Informatics or Masters in Biomedical Informatics (MBI) or permission of the Program Coordinator.
EXCLUSIONS: None
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CISC-803* Biomedical Data Mining and Applications
The objective of this course is to provide students with hands-on training in data mining to familiarize them with the principles and practice of cutting edge technologies for bioinformatics used in biomedical and molecular sciences research. This course will span over four weeks and will consist of a combination of lectures and interactive computer labs. Specifically, students will acquire knowledge and skills for mining various biomedical dataset, survey the breadth/depth of biomedical datasets and how they are used to advance biomedical research, design an experiment that will require them to generate a hypothesis and test that hypothesis using real biomedical data. PREREQUISITES: CISC- 801*, CISC-802* and admission in the Diploma in Biomedical Informatics or Masters in Biomedical Informatics (MBI) or permission of the Program Coordinator.
EXCLUSIONS: None
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CISC-810*  Fundamentals of Computational Science
This course is offered in the Fall semester and is open to graduate students and advanced undergraduate students interested in Computational Science and Engineering.  The purpose of this course is to present the tools necessary to pursue computational science and engineering within the student's “home” discipline. 
This course is offered jointly with QCSE-810*.  Graduate students enrolled in the CSE specialization must register in QCSE-810*.  The Queen's CSE management committee may cap enrollment, in which case students in the CSE specialization have priority.
PREREQUISITE: Permission of the instructor.
EXCLUSION: QCSE-810*
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CISC-811* High Performance Computing And Its Applications
This course is offered in the Winter semester and is open to graduate students and advanced undergraduate students interested in Computational Science and Engineering.  This course covers the principles and practices of current high performance computing architecture and software, such as parallel, massively parallel, and grid computing.  Advanced tools for analyzing and optimizing the performance of algorithms important to computational science and engineering  will be introduced. 
This course is offered jointly with QCSE-811*.  Graduate students enrolled in the CSE specialization must register in QCSE-811*.  The Queen's CSE management committee may cap enrollment, in which case students in the CSE specialization have priority.
PREREQUISITE     Permission of the instructor.
EXCLUSIONS:   QCSE-811* and CISC-878* taken in 2004-2005
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CISC-825* Paradigms of Wireless and Mobile Networking
This course introduces the different paradigms of wireless and mobile networking. It will also familiarize students with the state-of-the-art technologies, as well as with recent efforts in research and standardization. Students taking this course will develop a strong grasp of the different architectures involved in current and future wireless networks, have a functional understanding of the different paradigms, design and analyze the behavior of wireless and mobile networks protocols using one or more network simulation tools. PREREQUISITE: CISC-435 or equivalent.
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CISC-832* Data Base Management Systems
Theory and practice of modern data base systems; data as a model of reality; architecture of current and proposed systems. Networks models, entity data model and relational models of data. Data independence, security, data base integrity, contention handling, data definition languages, data manipulation languages and their relation to current and proposed systems. Readings from current research literature. Two term-hours; lectures. Two term-hours; lectures. PREREQUISITE: Permission of the School.
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CISC-833* Advanced Operating Systems
This course considers operating systems for distributed architectures covering the following topics: distributed system characteristics, process synchronization and communication, basic distributed algorithms, principles of fault tolerance, reliable broadcast, naming, file systems, load balancing, and layering. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-834* Paradigms of Wireless and Mobile Networking
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-835* Empirical Software Engineering using Ultra Large Repositories
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-836* Models in Software Development: Methods, Techniques and tools
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-837* Network Traffic and Resource Management
The course describes fundamental techniques, principles and technologies associated with network traffic and Quality of Service (QoS) management. The Broadband Integrated Services architecture and Asynchronous Transfer Mode are described. TCP/IP flow and congestion control and the Integrated and Differentiated Services architectures and their accompanying protocols and techniques for QoS management are detailed. The course includes studies of end-to-end resource management across heterogeneous domains and platforms.  H. Hassanein
 
 
PREREQUISITE: Permission of the School.
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CISC-838* Software Engineering
Designing and constructing large software system: requirements analysis, architectural design, detailed design and specification, implementation, test planning, delivery, evolution. Project and configuration management issues. This course includes a team project. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-839* Topics in Information Systems
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-841* Advanced Computer Architecture
Large uniprocessor design, including pipelining, cache management, lookahead and prefetch; array processors and algorithms; multi-processors, conventional multiprocessors, systolic arrays, data driven and demand driven architectures. Three term-hours; lectures and seminars. PREREQUISITE: Permission of the School.
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CISC-842* Parallel Languages and Architectures
A study of the techniques necessary for developing complete parallel systems. This includes program development techniques in a parallel setting, parallel languages, compilation and transformation techniques, and properties of parallel architectures. The emphasis is on integrating solutions to each of these stages to provide practical parallel systems. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-845* Requirements of Specifications and Design
Software system engineering. Essential elements of requirements. Natural and formal language specification. Software process models. Mathematical foundations. Model-oriented specification styles: informal (data flow, control flow, process-based, data models, object-oriented); operational (process-based, state machine, data models); set theory and logic. Property-oriented specification style: trace-based; event-based; abstract data type. Refinement of requirements to components. Tool support. Case studies. Three term-hours; lectures. PREREQUISITE: Permission of the School.
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CISC-846* Software Design and Implementation
General characteristics of designs and design methods. Survey of design methods: information hiding; object-oriented design; state machine methods; data flow design. Module specification techniques: first-order logic; algebraic specification; trace specification; weakest preconditions; the refinement calculus; abstract modeling. Transition from design to implementation. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-847* Software Verification and Validation
Formal techniques: proving programs correct, checking consistency and completeness. Inspections and reviews. Unit/module testing. White box and black box testing. System integration and testing. Tool support for testing. Faults vs. failures. Verification of implementation against both requirements and design. Techniques for critical software. Trust-worthiness vs. reliability. Timing analysis and verification. Safety analysis. Multi-version programming. Software quality assurance, software reliability. Debugging. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-848* Software Reliability and Security
Software crisis and software process models, Software reliability and methods for reliable software, Software reliability engineering process, Software dependability, Software fault tolerance, Run-time software monitoring, Software security, Software security engineering process, Network security, Intrusion detection.  Three term hours: lectures and seminars.   PREREQUISITE:  Permission of the School.
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CISC-850* Topics in Computer Applications and Algorithms l
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the department. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-853* Computer-aided Verification of Software Systems
Expressing concurrent systems using finite-state machines and Buechi automata.  Expressing properties of systems: assertions, safety properties, liveness properties, temporal logic, specification patterns.  Analyzing concurrent systems using model  checking: algorithms, complexity, and optimizations.  Academic and industrial model checking tools.  Three term hours: lectures and seminars.   PREREQUISITE:  Permission of the School.
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CISC-854* Computer Graphics
Advanced computer graphics with emphasis on physical modelling and rendering of realistic 3-d scenes. Topics include constructive solid geometry, parametric shape representations, kinematics and dynamics, photometry and surface reflectance, and ray tracing. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-856* Artificial Intelligence
A survey of formal and heuristic approaches to realizing problem-solving behaviour by information processing methods, including theorem-proving, heuristic search, game playing, semantic models, and learning. PREREQUISITE: Permission of the School; CISC-363* and 364* are desirable. Three term-hours; lectures.
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CISC-857* Image Processing
Examines the techniques used in digital image processing. Topics covered include image transformations (FFT, DCT, wavelets), linear and nonlinear filtering, image compression, image restoration and enhancement, Bayesian estimation of image properties, and image registration methods. Applications examined include medical imaging, motion analysis, remote sensing imagery (satellite and aircraft), and industrial imaging (inspection). Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-858* Programming Language Processors
An introduction to the systematic construction of a compiler: grammars and languages; scanners; top-down and bottom-up parsing; run-time organization; symbol tables; internal representations; Polish notation; syntax trees; semantic routines; storage allocation; code generation; interpreters. Three term-hours; lectures. PREREQUISITE: CISC-210, 363* and 366*, or permission of the School.
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CISC-859* Pattern Recognition
An introduction to statistical and structural pattern recognition. Feature extraction and the feature space. Bayes decision theory. Parametric classification. Clustering methods. Syntactic pattern description: string, tree and graph grammers; attributed grammars; stochastic grammars. Error correcting parsing; parsing of stochastic languages. Assignments include practical experience in application areas such as character recognition and document image analysis. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-860* Structure and Design of Programming Languages
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-861* Advanced Graphics 
The course will cover historical and recent research in computer graphics.  The instructor will give lectures on the physics of illumination, radiosity methods for light transport, Monte Carlo methods for light transport, visibility, and geometric problems. Students will give presentations on papers that they've chosen from the current research literature. Three term hours: lectures and seminars.  PREREQUISITE:  Permission of the School.  CISC-454 or equivalent.
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CISC-865* Introduction to Programming-Language Theory
The language of while programs. Programming logics. Operational and denotational semantics. The typed and untyped lambda calculi. Recursive definitions and domain theory. Full abstraction. Three term-hours; lectures and seminars.
PREREQUISITE: CISC-222*/260* and CISC-202*, or permission of the School.
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CISC-868* Computational Geometry
A study of fundamental techniques for developing effective algorithms and data structures to solve geometric problems. Topics include - algorithms for computing convex hulls, triangulations, minimum spanning circles, Voronoi diagrams; point location problems; intersection problems; path planning, and hidden surface algorithms. PREREQUISITE: CISC-365* or permission of the School. Three term-hours; lectures.
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CISC-869* Advanced Topics in Programming-Language Theory
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars.
PREREQUISITE: CISC-865* or permission of the School.
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CISC-870* Fuzzy Logics
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-871* Algorithmic Graph Theory
An introduction to graph theory, and a survey of graph theoretic algorithms as applied to classic and contemporary problems in combinatorics and computer science. Topics include: colouring, isomorphism, connectivity, network flow, matchings, planarity, shortest path problems, NP- completeness. Three term-hours; lectures and seminars.
PREREQUISITE: Permission of the School; CISC-202* or equivalent is recommended.
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CISC-872* Parallel Algorithms
The design and analysis of parallel algorithms. Computational models. Complexity classes. Parallel algorithms for various problems including: basic arithmetic, sorting, searching, selection, graph theory, matrix computations, combinatorial enumeration, optimization, computational geometry, and numerical analysis.
Three term hours; lectures and seminars.
PREREQUISITE: Permission of the School. CISC-365* (or equivalent) is recommended.
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CISC-873* Data Mining
Study of the extraction of concepts from large high-dimensional datasets. Statistical foundations; techniques such as supervised neural networks, unsupervised neural networks, decision trees, association rules, Bayesian classifiers, inductive logic programming, genetic algorithms, singular value decomposition, hierarchical clustering.
Three term hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-874* Foundations of Neural Networks
An introduction of the computational properties of neural networks. Topics may include: Learning Processes, Single Layer Perceptrons, Multilayer Perceptrons, Principal Components Analysis, and Self-Organizing Maps.
Three term hours; lectures and seminars.
PREREQUISITE: Permission of the School.
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CISC-875* Bioinformatics
This inter-disciplinary course for students in the computational and life sciences looks at the application of computing techniques to molecular biology. Topics may include: DNA data analysis (genomics), secondary and tertiary structure analysis (nucleic acids and proteins), molecular scene analysis, evolutionary trees (phylogenetics), and computing with DNA. Three term hours; lectures and seminars.
PREREQUISITE: Permission of the School.
EXCLUSION: Jointly with BCHM-875*.
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CISC-876* Computational Complexity
A systematic studyof the known relations between the most important resource bounded complexity classes. Reductions, separation results and translation techniques. Relativized computation. Topics may include also: Circuit complexity, Kolmogorov-Chaitin complexity, Communication complexity. Three term-hours; lectures and seminars
Permission of the School. CISC-365* (or equivalent) is recommended.
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CISC-877* Developing Digital Games
Consists of formal lectures and the study and discussion of research papers appearing in the current literature.  Students will be expected to participate in the presentation of the lecture material.  Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars. Permission of the School. 
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CISC-878* Advanced User Interfaces
Consists of formal lectures and the study and discussion of research papers appearing in the current literature.  Students will be expected to participate in the presentation of the lecture material.  Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars. Permission of the School. 
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CISC-879* Computing Beyond Turing
Consists of formal lectures and the study and discussion of research papers appearing in the current literature.  Students will be expected to participate in the presentation of the lecture material.  Topics chosen for study will be by arrangement with the School. Three term-hours; lectures and seminars. Permission of the School. 
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CISC-880* Topics in Software Systems II
Consists of formal lectures and the study and discussion of research papers appearing in the current literature.  Students will be expected to participate in the presentation of the lecture material.  Topics chosen for study will be by arrangement with the School.  Three term-hours; lectures and seminars. Permission of the School.
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CISC-881* Computer Aided Interventional Oncology Systems & Applications
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School.  Three term hours: lectures and seminars.  PREREQUISITE:  Permission of the School.
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CISC-882*  Coordinate Transformations
Consists of formal lectures and the study and discussion of research papers appearing in the current literature. Students will be expected to participate in the presentation of the lecture material. Topics chosen for study will be by arrangement with the School.  Three term hours: lectures and seminars.  PREREQUISITE:  Permission of the School.
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CISC-883* Introduction to Ultra Large-scale Software Systems
An introductory course in Ultra Large-scale Software Systems (ULSS). This course gives students an overview of the ULSS area covering a wide range of ULSS topics, while building and strengthening their independent research skills. Topics include research methods, large-scale applications, web services, hosted applications, software as a service, autonomic computing, and mobile applications. Three term-hours, lectures and seminars. PREREQUISITE: Registration in CREATE program in ULSS.
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CISC-884* Practicum in Ultra Large-scale Software Systems
This course is an independent studies course to allow ULSS students the opportunity to gain experience with ultra large systems prior to their thesis or project (Pattern II). The student will propose a project to a CREATE professor that investigates issues relevant to Ultra Large Scale Software Systems. The project report will include a report on the current state of the art, the experiment performed, and the results. The student and supervising professor will meet on a regular basis. PREREQUISITE: Registration in CREATE program in ULSS.
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CISC-885* Professional Development in Ultra Large-scale Software Systems
The Professional Development in ULSS course is designed to develop professional skills that complement students’ qualifications and technical skills, and provides multidisciplinary skills relevant to careers in ULSS. These skills encompass aspects of intellectual property/commercialization; leadership and management; social responsibility; communication; and public relations. The course includes regular meetings with the instructor, seminars, and completing external workshops and certification (i.e., Expanding Horizons, MITACS, Ontario Centres of Excellence – VAP). PREREQUISITE: Registration in CREATE program in ULSS.
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CISC-886* Cloud Computing
Cloud computing is a distributed computing paradigm where computing resources are provided in an on-demand manner. The goal of the courses is to introduce students to key concepts and techniques from cloud computing. The course focuses on issues such as system architectures, resource allocation and management, and approaches and systems for the storage, management and processing of data in cloud environments.
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CISC-888* Advanced Research in Human-Computer Interaction
This is a topics-based course that presents a comprehensive set of research within the broad range of activities in Human-Computer Interaction (HCI). Topics include eye-tracking input, digital desks, wearable computing, ubiquitous and context-aware computing, tangible interfaces and organic user interfaces. Each area will be treated in depth, on the basis of its scientific foundations. In addition, you will get important knowledge on the body of scientific work in HCI, practice of scientific evaluation, practice in advanced engineering with project-based deliverables. PREREQUISITE: CISC-325, CISC 425 or permission of the instructor.
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CISC-897* Research Methods in Computer Science
This course provides an introduction to the primary and secondary sources of information in the computing science literature. The course includes work aimed at improving research skills. Students are required to submit and present a paper on a topic that relates to their research. Prerequisite: none
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CISC-898 Master's Project
A major programming project is undertaken under the supervision of a School member. The presentation of a seminar to describe the project is required.
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CISC-899 Master's Thesis
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CISC-999 Ph.D. Thesis
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Graduate Studies Courses of Instruction Computing
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