Computer Science

This course explores the mechanisms, implications, and ethics of an environment where artificial intelligence plays an increasingly important role. Students consider the science behind the headlines to help students develop an informed opinion regarding the complexities of the use of AI in society. Students also examine the conceptual frameworks behind AI methodologies and the sources of the data on which they operate. This course provides an introduction to computational thinking on what sort of problems AI can realistically be expected to help with. Students analyze a series of case studies highlighting the use of AI in work and society.

This course in information science involves an individual course of study and is usually carried out under the supervision of an academic advisor. Students conduct and assist in research done in the Human-Computer Interaction Lab in the Information Science department. The course focuses on researching eye trackers and designing user studies using the eye trackers and collaborating with other lab projects.

The International Internship course develops vital business skills employers are actively seeking in job candidates. This course is comprised of two parts: an internship, and a hybrid academic seminar. Students are placed in an internship within a sector related to their professional ambitions. The hybrid academic seminar, conducted both online and in-person, analyzes and evaluates the workplace culture and the daily working environment students experience. The course is divided into eight career readiness competency modules as set out by the National Association of Colleges and Employers (NACE), which guide the course’s learning objectives. During the academic seminar, students reflect weekly on their internship experience within the context of their host culture by comparing and contrasting their experiences with their global internship placement with that of their home culture. Students reflect on their experiences in their internship, the role they have played in the evolution of their experience in their internship placement, and the experiences of their peers in their internship placements. Students develop a greater awareness of their strengths relative to the career readiness competencies, the subtleties and complexities of integrating into a cross-cultural work environment, and how to build and maintain a career search portfolio.

This course offers an introduction to logic in Computer Science and Engineering. Topics include: introduction to formal systems; representation and syntax in propositional calculus; proof theory in propositional calculus; representation and syntax in predicate logic; proof theory in predicate calculus; semantic theory for propositional and predicate calculi; resolution method; computational logic and applications.

This course discusses the software development process including software testing and issues with software quality. Other topics include: ethical and legal issues in the field of software engineering; agile software development techniques; test-driven development; refactoring and simple design. Previous coursework in programming and software engineering are required.