These are the courses that I have taken over the course of my university education, which I enjoyed taking along with enhancing my skill-set and helped to prepare me for my career:
ENG 1101 – Renaissance Engineer 1: Ethics, Communication & Problem Solving
Who is an engineer and what are his/her ethical and academic integrity obligations; communications strategies for technical subjects in oral and written forms; dealing with ambiguity, uncertainties, and open ended problems in a technical context, problem definition strategies.
ENG 2003 – Effective Engineering Communication
Students learn to effectively employ communication strategies essential to a successful engineering career, including the social, rhetorical, ethical, and practical aspects of professional communications. The focus is on building individuals’ confidence and judgment through communications assignments based on case studies.
ENG 3000 – Professional Engineering Practice
An introduction to the legal and ethical frameworks of the engineering profession, preparing students for the Professional Practice Examination required for certification as a professional engineer. Also covered are associated professional issues such as entrepreneurship, intellectual property and patents.
MATH 1013 – Applied Calculus I
Introduction to the theory and applications of both differential and integral calculus. Limits. Derivatives of algebraic and trigonometric functions. Riemann sums, definite integrals and the Fundamental Theorem of Calculus. Logarithms and exponential, Extreme value problems, Related rates, Areas and Volumes.
MATH 1025 – Linear Algebra I
Topics include spherical and cylindrical coordinates in Euclidean 3-space, general matrix algebra, determinants, vector space concepts for Euclidean n-space (e.g. linear dependence and independence, basis, dimension, linear transformations etc.), an introduction to eigenvalues and eigenvectors.
EECS 1028 – Discrete Mathematics for Engineers
Introduction to discrete mathematics for engineering disciplines, including an introduction to propositional logic and application to switching circuits; sets, relations and functions; predicate logic and proof techniques; induction with applications to program correctness; basic counting techniques with applications; graphs and trees with applications in circuit analysis, information storage and retrieval.
EECS 2011 – Fundamentals of Data Structures
A study of fundamental data structures and their use in the efficient implementation of algorithms. Topics include abstract data types, lists, stacks, queues, trees and graphs.
EECS 2030 – Advanced Object Oriented Programming
Hence, rather than using an API (Application Programming Interface) to build an application, the student is asked to implement a given API. Topics include implementing classes (non-utilities, delegation within the class definition, documentation and API generation, implementing contracts), aggregations (implementing aggregates versus compositions and implementing collections), inheritance hierarchies (attribute visibility, overriding methods, abstract classes versus interfaces, inner classes); applications of aggregation and inheritance in concurrent programming and event-driven programming; recursion; searching and sorting including quick and merge sorts); stacks and queues; linked lists; binary trees.
EECS 3311 – Software Design
A study of design methods and their use in the correct implementation, maintenance and evolution of software systems. Topics include design, implementation, testing, documentation needs and standards, support tools. Students design and implement components of a software system.
EECS 3342 – Introduction to Database Systems
Concepts, approaches and techniques in database management systems (DBMS). Logical model of relational databases. An introduction to relational database design. Other topics such as query languages, crash recovery and concurrency control.
Eric Dao 