Honours Sessions


01.015 SHARP Honours Session Term 1

Nonlinear Systems and Chaos

Week 1 to 3
Instructor: Prof Ricky Ang
 
Description:
Students will learn about important concepts of nonlinear dynamics and Chaos focused on its applications to science and engineering.

1. Linear stability analysis, Different types of Bifurcations
2. Extension from 1 dimensional (1D) to 2D systems
3. Lorentz equation, Chaos, Strange attractors

Quantum World

Week 4 to 5
Instructor: Assistant Prof Ang Yee Sin
 
Description:
Students will learn about the basics of quantum physics and how quantum mechanics can be used for computing.

1. Introduction to quantum mechanics and classical computing
2. Quantum states and all that
3. Introduction to quantum information

SHARP Talks

Week 10 to 12
Talks by various faculty


01.016 SHARP Honours Session Term 2

Quantum Computing and Quantum Secure Communication

Week 2 to 4
Instructor: Associate Professor Dario Poletti

Description:
The students will be introduced to some foundational topics in quantum mechanics so as to understand the basic functioning of quantum computers and quantum secure communication.   

Quantum Chemical Calculations for Photochemistry Modelling: From Theory and Practice

Week 5 to 9
Instructor: Assistant Professor Liu Xiaogang

Description:
Chemistry, as the central science, extends its reach across various disciplines, intertwining with mathematics, physics, and engineering. In our journey away from traditional wet lab chemistry, modern computers become our powerful allies, enabling simulations and experiments in a virtual realm. This paradigm shift allows us to address critical scientific questions and foster the development of innovative products in a much more efficient and green manner.
 
In this mini-course, we embark on an exciting adventure that combines theoretical foundations with hands-on training, all presented at an accessible level. Our focus lies in unravelling the essentials of computational modeling within the realm of photochemistry. Topics covered will include an introduction to density functional theory, basis sets, essential computational chemistry software, and the historical development and fundamental concepts of photochemistry. Through this blended learning, we will explore the molecular origins of greenhouse gases, as well as delve into the absorption and emission dynamics of fluorescent dyes, including their quenching mechanisms.

SHARP Talks

Week 10 to 12
Talks by various faculty


01.017 SHARP Honours Session Term 3

Metaheuristic Optimisation

Week 1 to 4
Instructor: Assistant Prof Nuno Ribeiro
 
Description:
Metaheuristics are flexible problem-solving approaches that use inspiration from nature or logic to efficiently explore for solutions within complex search spaces in optimisation. These methods find applications in various industries such as supply chain, logistics, transportation, and robotics. This course delves into key metaheuristic approaches such as neighbourhood search, simulated annealing, and genetic algorithms.

The Yin and Yang of LLM Responses: A Deep Dive into Trustworthiness, Helpfulness and Harmlessness

Week 8
Instructor: Assistant Professor Soujanya Poria
 
Description:
This comprehensive course explores the intricate balance between trustworthiness, helpfulness, and harmlessness in Large Language Model (LLM) responses. Participants will gain a deep understanding of the complexities involved in developing and deploying AI systems that are both powerful and responsible.

Safety and Fairness of Machine-learned Software Systems

Week 9
Instructor: Associate Professor Sudipta Chattopadhyay
 
Description:
The course will teach state-of-the-art methodologies and algorithms to systematically check the functionality and fairness of ML models. Students will know how to automatically test an ML model for various properties including functional correctness, individual and group fairness etc. Time permitted, an introduction on designing an attack on Machine Learning model will be discussed. 

SHARP Talks

Week 10 to 12
Talks by various faculty