전산설계기초

Fundamentals of Numerical Design (2026)

Lecture Materials

L0 - Introduction of Numerical Method [PDF] 

L1 - MATLAB review [PDF] [Youtube] [MATLAB] Part 1 (make up 9/7)

[Youtube]  [MATLAB] Part 2 (make up 9/9)

L2 - Deep Learning Intro [PDF] [MATLAB] kNN (iris dataset)

[MATLAB] N.N. 3 input to 1 output

[MATLAB] Multilayer N.N.  

[MATLAB] Multiclass Classification

[MATLAB] MNIST dataset [train.csv] [test.csv] [number.png]

[MATLAB] Iris dataset

[MATLAB] CNN 

L3 - Deep Learning LLM [PDF] [MATLAB] LLM (paper search in archive)

[MATLAB] LLM with RAG [data.zip]

       Deep Learning LLM-Agent [PDF]

L4 - Round off and Truncation Errors [PDF] 

L5 - Roots [PDF]

       Energy Climate Change [PDF]

L6 - Optimization [PDF] for 10/07 

L7 - Linear Equations [PDF] 

L8 - Eigenvalues [PDF] [MATLAB] Eigenface code

   [MATLAB] PCA Image compression

L9 - Curve Fitting [PDF] 

L10 - Integration and Differentiation [PDF]

L11 - Ordinary Differential Equations [PDF] 

L12 - Finite Differenet Method [PDF] 

L13 - Physics-Informed Neural Networks [PDF] [MATLAB] PINN for Heat Transfer

Supply materials

R1 - MATLAB Onramp [Link]

R2 - Deep Learning Onramp [Link]

Homeworks

HW#1 - [PDF] Error [solution]

HW#2 - [PDF] Bracket method - Open Method [solution]

HW#3 - [PDF] Nonlinear Equataion [solution]

HW#4 - [PDF] Optimization [solution]

HW#5 - [PDF] Linear Algebra [solution]

HW#6 - [PDF] Regression [solution] 

HW#7 - [PDF] Integration, Initial, Boundary [solution]

Reports

Report#1 -LIB Classfication [PDF] [MATLAB] [ref1] [csv] "data_LIB_Energy_Power_900data.xls"

Report#2 -LLM-RAG [PDF]  [MATLAB] LLM (paper search in archive) [MATLAB] LLM with RAG [data.zip]

Report#3 - ML LIB Capacity Estimation [PDF] [ref1] [MATLAB]  [Data.zip] "BOOX,zip"

Nature Energy 4, 383–391 (2019) [ref2]

Project

Project#1-1 Measurement of GyroCopter [PDF] 

Project#1-2 GyroCopter [PDF] 

Project#2    Deep Learning [PDF]