(Course Objective)
The objective of this course is to provide some basic but very important notions of Artificial Intelligence with several real world applications in Chemical Engineering. The course consists of three parts. In the first part, as preparation for the studies of Artificial Intelligence, essential basic numerical techniques of Linear Algebra, Optimization, and Ordinary Differential Equations are covered. In the second part, basic AI algorithms such as Neural Network, Machine Learning, and Deep Learning are studied with the help of the already covered notions in the first part. In the final part, real world application problems are introduced for the students to have vivid feeling of AI applications in the chemical engineering field. .As numerical tools, Matlab and/or Python are used and the students will be encouraged to write their own codes to solve some important problems.

(Prerequisite)
Undergrad math (1st year)

(Evaluation)
Homework: 100
Coding (3 sets): 100
Final: 100

Will be introduced

(Lecture Plan)

Part 1: Preparation for the AI studies
Week 1: Introduction to the numerical tools: Matlab and Python
Week 2: Linear algebra (1): Solution of linear systems, Gauss elimination
Week 3: Linear algebra (2): Determinant, Eigenvalue problems, Hermitian matrix
Week 4: Optimization (1); Steepest descent method
Week 5: Optimization (2): Conjugate gradient method
Week 6: Genetic algorithm (GA)
Week 7: Ordinary Differential equations: 1st order ODE, 2nd order ODE

Part 2: Basic algorithms in AI
Week 8: Neural network
Week 9: Machine learning: Back propagation algorithm
Week 10: Machine learning: Effects of activation functions
Week 11: Machine learning: Over-estimation and Regularization
Week 12: Deep learning: Convolutional neural network (CNN)
Week 13: Classification and Clustering

Part 3: Applications of AI in Chemical Engineering
Week 14: Applications in IT materials
Week 15: Applications in Biotechnology/Energy
Week 16: Final exam

1. Lectures will be given in ENGLISH. (Voice file in Korean will also be uploaded for better understanding.)
2. First two weeks (Sept 5 - Sept 16): Lectures will be given via ZOOM
ZOOM info:
id: 575 115 7019
pw: 3C2try

TAs:
T.S. Choe (최태수) : tschoe@postech.ac.kr
G.W. Yoo (유건우) : gwyoo@postech.ac.kr