Program Requirements
The Information Technology Management concentration focuses on how organizations can leverage the power of IT. Navigating the digital economy, foundations in analyzing, selecting and applying technology solutions for business problems, as well as how to handle and analyze data.
Required Course (3 credits)
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INSY 333 Systems Analysis and Modeling (3 credits)
Overview
Information Systems : First two phases of the software development life cycle. Techniques used to conduct system requirement analysis, practical application of the analyst role in identifying operational problems, defining information system requirements, working with technical and non-technical staff, and making recommendations for system improvement.
Terms: Fall 2024, Winter 2025
Instructors: Han, Kunsoo (Fall) Han, Kunsoo (Winter)
Prerequisite: MGCR 331
Complementary Courses (12 credits)
6-12 credits selected from:
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INSY 331 Managing and Organizing
Digital Technology (3 credits)
Overview
Information Systems : Tools and concepts necessary to manage information systems in an organization: hardware/software/telecom administration, knowledge discovery/management, web-technologies, and computer security. Focuses on both mechanical aspects of IT and conceptual understanding with regard to impact on business organizations.
Terms: Fall 2024
Instructors: Tayyab, Syed Muhammad Usman (Fall)
Prerequisite: MGCR 331
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INSY 334 Design Thinking for User Experience (3 credits)
Overview
Information Systems : Design of user interfaces for web and mobile applications, design thinking process, principles of good design to produce technology-enabled solutions. Topics include user research methods, problem definition, ideation, prototyping and testing of user interfaces.
Terms: Fall 2024
Instructors: Goodman, Matthew (Fall)
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INSY 339 Digital Consulting (3 credits)
Overview
Information Systems : Developing a digital technology consulting practice by exploring the right sequence of phases: entry and scoping of technology, contracting, diagnosis and data collection, managing resistance and feedback, effective technology implementation. Case studies on big data analytics, user experience and e-commerce.
Terms: Winter 2025
Instructors: Tanguay, Sol (Winter)
Prerequisite: MGCR 331
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INSY 341 Developing Business Applications (3 credits)
Overview
Information Systems : Fundamental programming techniques, concepts, and data structures. Discusses modularization and maintainability. Emphasis on facilitating communication and understanding between systems analysts and programmers to support decision-making.
Terms: Winter 2025
Instructors: Animesh, Animesh (Winter)
Prerequisite: MGCR 331
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INSY 431 IT Implementation Management (3 credits)
Overview
Information Systems : Exposure to a variety of real-life strategic and operational issues that arise when implementing IT. It may involve the selection process of an information technology, its introduction, implementation, management and/or improvement.
Terms: Winter 2025
Instructors: Lapointe, Liette (Winter)
Prerequisite: MGCR 331
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INSY 432 Digital Business Models (3 credits)
Overview
Information Systems : Discusses the role of the information systems in enabling new digital business models within and across organizations. Focuses on platforms and models of the sharing economy in different industries as well as new forms of business activities enabled by technologies. Discusses economic, strategic and organizational issues of these models.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Prerequisite: MGCR 331
Restricted to U2 and U3 students.
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INSY 434 Topics in Information Systems 1 (3 credits)
Overview
Information Systems : Current topics in the area of information systems.
Terms: Fall 2024
Instructors: Khern-am-nuai, Warut (Fall)
Prerequisite: MGCR 331
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INSY 437 Managing Data and Databases (3 credits)
Overview
Information Systems : Management of organizational data, implementation of database management systems, and the roles and responsibilities of data management personnel. Explores different models of data representation with an emphasis on the relational model; simple and complex SQL queries.
Terms: Winter 2025
Instructors: Animesh, Animesh (Winter)
Prerequisite: MGCR 331
Management: students are encouraged to take this course as early as possible in their program.
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INSY 440 E-Business (3 credits)
Overview
Information Systems : Build the knowledge base and skills needed to face today's electronic business challenges, opportunities, and issues. Explore important concepts, models, tools and applications related to e-business.
Terms: Fall 2024
Instructors: Tanguay, Sol (Fall)
Prerequisite: MGCR 331
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INSY 442 Data Analysis and Visualization (3 credits)
Overview
Information Systems : Overview of methods and tools for analyzing business data to improve business decision-making, focusing on data visualization using hands-on learning.
Terms: Fall 2024
Instructors: Kim, Doehun (Fall)
Prerequisites: MGCR 331 or permission of the instructor and approval of the BCom ProgramOffice.
Restriction(s): Open to U2 and U3 students.
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INSY 444 Online Communities and Open Innovation (3 credits)
Overview
Information Systems : This course is intended to help students learn about and analyze the phenomena of online communities and open innovation. The potential of OI to revolutionize markets and businesses will be a core part of the course.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Prerequisite: MGCR 331
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INSY 450 Information Systems Project Management (3 credits)
Overview
Information Systems : Practical principles of project management essential to successful IS development projects or other complex undertakings within an organization; includes methods for defining, planning, and scheduling activities and resources. Discusses managerial and behavioural issues.
Terms: Winter 2025
Instructors: Borwankar, Sameer (Winter)
Prerequisite: MGCR 331 or permission of Instructor and approval of the BCom Office
Restrictions: Restricted to U2 and U3 students.
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INSY 455 Technology and Innovation for Sustainability (3 credits)
Overview
Information Systems : The role of information and other technologies in the size and nature of an organization’s environmental ‘footprint’. Achieving sustainability through strategic innovation, such as digitization, recycling, reuse of materials, sustainable design, LEED certifications, smart grids and energy metrics. Analyzing the environmental benefits and hidden costs of novel technologies.
Terms: Winter 2025
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Restriction: Open only to U2 and U3 students.
0-6 credits selected from:
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INSY 336 Data Handling and Coding for Analytics (3 credits)
Overview
Information Systems : Preparation and analysis of data for business analytics. Topics include: data acquisition, data manipulation and computer programming for statistical analysis.
Terms: Fall 2024
Instructors: Lee, Kyunghee (Fall)
Prerequisite: MGCR 331
Restrictions: Open to U2 and U3 students.
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INSY 446 Data Mining for Business Analytics (3 credits)
Overview
Information Systems : Practical methods and techniques for data mining and predictive analytics to solve business problems. Use of statistical tools for hands-on learning. Topics covered include supervised learning, unsupervised learning, and text mining.
Terms: Fall 2024
Instructors: Lee, Kyunghee (Fall)
Corequisite: INSY 336
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INSY 448 Text and Social Media Analytics (3 credits)
Overview
Information Systems : The unlimited opportunities that exist today to leverage the power of user generated content analytics, focusing on questions ranging from strategic to operational matters pertaining to a firm’s social media initiatives, metrics to capture relevant outcomes, and predictive analysis to link social media chatter to business performance.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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INSY 463 Deep Learning for Business Analytics (3 credits)
Overview
Information Systems : Theory of Neural Networks and its applications for business analytics, including how to build and train Neural Networks to derive insights from unstructured text and image data in business contexts. Introduction to the ecosystem of software packages needed in Python, including: NumPy, Pandas, Sklearn. The theory and implementation of Neural Networks and Deep Learning. How to apply various deep learning models to real-world problems and demonstration of their power in the new data-abundant business world.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.