Teaching Responsibilities and Achievements
Developed curricula, lesson plans, and teaching materials in response to institutional changes to improve subject coverage.
Delivered engaging, high-quality instruction for undergrads.
Support student success via clear guidance, timely feedback, and inclusive practices that meet diverse learning needs.
Assessed student performance by grading assignments, essays, and examinations, providing constructive and actionable feedback.
Introduction to Artificial Intelligence
Teaching Objectives and Requirements
This course is an elective course for the major of Electronic Information and Computer Technology, an entry-level course on artificial intelligence, which helps beginners understand the scope and history of artificial intelligence from a "zero foundation"; systematically learn the connotation of artificial intelligence, and learn the principles of important algorithms and models of artificial intelligence in a point-to-surface combination; understand how artificial intelligence solves practical problems through hands-on practice.
Prerequisite Courses: None
Textbook Information
Stuart J. Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Third Edition (2010), Pearson Education, New Jersey
Introduction to Artificial Intelligence: Models and Algorithms Wu Fei May 2020 Higher Edu Press
Teaching Objectives and Requirements
This course introduces you to the components, architectures and industrial standards involved in the design and implementation of enterprise software applications. The focus will be on applications employing 3 tiers including a presentation tier, an application tier and a data persistence tier. You will work in a small team for the design and development of a 3-tier enterprise application project. In terms of technology, both traditional desktop applications and web-based applications will be covered and different technology platforms will be compared and contrasted. Emerging technologies and current research issues will be discussed.
Prerequisite Courses: Data Structures and Algorithms, Database Design and Development.
Co-requisite Courses: Distributed Systems: Principles and Development, Software Engineering.
Textbook Information
Beginning Java EE 7, Antonio Goncalves, 2013, Apress, ISBN 9781430246275.
Teaching Objectives and Requirements
This course is designed for students to learn how to develop and deploy Android and iOS mobile apps. Native programming languages and design patterns required for creating standalone applications are introduced. Commonly used mobile tools and frameworks for mobile app development are expanded, while all stages of software development are covered. Two real-world case scenarios are introduced from developers' point of view, and the process of deploying mobile apps are undertaken.
Prerequisite Courses: Responsive Web Design
Textbook Information
Phillips, Bill, Stewart, Chris, & Marsicano, Kristin, Android programming: The Big Nerd Ranch guide, Third Edition, 2017, Big Nerd Ranch Guides.
Pichler Gregor, iOS 13 programming with Swift 5, Second Edition, 2020, Packt Publishing.
Teaching Objectives and Requirements
This course is designed for students without prior programming experience become proficient in writing computer programs. It is taught at undergraduate level and includes topics to learn and practise code development with pseudocode, variables, constants, data types, operators, expressions, statements, classes, objects, control constructs, methods, passing parameters and arrays. In addition, you will learn how to design, implement and test programs with desktop-based and cloud-based IDEs.
Prerequisite Courses: None
Textbook Information
Wentworth, P., Elkner, J., Downey, A. B., & Meyers, C. (2012). How to Think Like a Computer Scientist: Learning with Python 3 (Rhodes Local Edition). OpenBookProject.net.
Farrell, J. (2019). Java Programming (9th ed.). Cengage Learning. (ISBN: 9781337397070).
