Engineering

The aim of the course is to give the necessary knowledge of digital image analysis for further research within the area and to be able to use digital image analysis within other research areas such as computer graphics, image coding, video coding, and industrial image processing problems. The course also prepares students for further studies in computer vision, multispectral image analysis, and statistical image analysis.

The course describes formal languages and the main abstract models of computation.

The course, Differential Equations, is a fundamental mathematics course for the students in the EE department. The contents of this course are as follows:
1. Introduction: definition and terminology
2. First-order differential equation
3. Applications of first-order differential equation
4. Differential equations of higher order
5. Applications of high-order differential equations
6. Series solutions of linear equations
7. Orthogonal functions and Fourier series
8. Boundary-value problems in rectangular coordinates 

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 introduces the basic concepts and methods of stress analysis. It explains the mathematical descriptions of stress analysis and demonstrates the physical significance of stress and strain and the importance and application of Hooke's Law. The course introduces the fundamental concepts of elasticity including Youngs Modulus and Poission ratio. The course then uses these descriptions to show how to solve a range of stress analysis problems including plane frames, stress and strain, pressure vessels and beams. 

The objective of this course is, starting from the requirements for vehicle propulsion, to present the different options in terms of vehicle energy converters, that have the potential for near-zero pollutant emissions and defossilization. The course deals with powertrains for vehicles. The expectations are that in a sustainable society, transportation powertrains will be a mix between battery electric, fuel cell, combustion engines, and hybrids. The combustion engines would then be powered by renewable fuels produced using sustainable sources. The main features of the different energy converters are given, with their pros and cons, followed by a detailed discussion for each option. Challenges to the combustion engine fueled by fossil fuels are discussed. The different configurations for hybrid powertrains and criteria for choosing the optimum configurations are presented. Plug-in hybrids and range-extended hybrids are discussed. The main features for hydrogen fuel cells and battery electric drive are stated, including advantages and challenges, as well as expected future trends for the different transportation modes.