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This course is the second sequence of discrete structures with an emphasis on applications to computer science concentrating on sequences and recursion, number theory and graph theory. The topics shall develop mathematical foundations in preparation to a more specialized computer science course. |
This
course begins with the basic concepts and definitions on mathematical models
and applications of differential equations to real-world problems. The focus is
to teach you how to model the world in terms of differential equations, and how
to solve equations and interpret the solutions in computing. Topic includes First-order
and higher-order differential equations, along with the methods of solutions
and their applications are introduced. Modeling with higher-order, and systems
of linear first-order differential equations are also covered. Numerical
methods are covered throughout the course. At the end, students learn series
solutions of ordinary differential equations and evaluate how it is applied in
real life.
The
course covers the standard data representation and algorithms to solve
computing problems efficiently (with respect to space requirements and time
complexity of algorithm). This covers the following: Lists, Stacks, Queues,
Trees, Graphs. Thorough discussion of searching, sorting and hashing. At the
end of this course, the students are expected to create a narrative video that
tackles real-life example of data structure and algorithms.
This course is the introduction and overview of basic computer organization. Topics include Computer arithmetic: binary, hexadecimal and decimal number conversions, binary number arithmetic and IEEE binary floating-point number standard. Basic computer logic: gates, combinational circuits, sequential circuits, adders, ALU, SRAM and DRAM. Basic assembly language programming, basic Instruction Set Architecture (ISA), and the design of single cycle CPU. Students are expected to develop a computer program simulating how to solve a particular problem using concepts in basic assembly language programming.
This course introduces the principles, architecture, and implementation of the Internet of Things (IoT). Students will explore how sensors, actuators, and microcontrollers work together to collect and exchange data over networks. Emphasis is placed on hands-on experimentation, communication protocols, cloud integration, and software interfacing. By the end of the course, students will be able to design and deploy a simple but functional IoT system.
This course provides an introduction to contemporary data-driven approaches in natural language processing. It progresses from simple bag-of-words methods to more sophisticated structural representations that capture how words combine to convey meaning, including language models. At each stage, the course highlights key linguistic phenomena and the most effective computational approaches. In parallel, it introduces machine learning techniques that are particularly important for natural language processing.