Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2025 352472 Digital Logic Design 1 3.0 3 ★ Hsiao-Chi Li ISMPE1 0 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	352472	Digital Logic Design	1	3.0	3	★	Hsiao-Chi Li	ISMPE1	0	0

Course Plan：

Instructor Hsiao-Chi Li　Office Hours

Email hcli@mail.ntut.edu.tw

Last Updated 2025-05-28 09:34:48

Course Objective Introduce the principles of digital logic. Topics include: 1. Number representation, number bases and base conversions, and binary codes 2. Boolean algebra and functions 3. Combinational design techniques: K-maps, tabulation method 4. Combinational logic circuits: adders/subtractors, comparators, multiplexors/demultiplexers, and decoders/encoders 5. Programmable logic circuits: read-only memory/programmable read-only memory (ROM/PROM), programmable logic devices (PLD), and programmable logic arrays (PLA) 6. Sequential logic circuits: state machine

Course Schedule Week 1: Introduction Week 2-3: Boolean Algebra & Logic Gates Week 4: Minterm & Maxterm expansions Week 5-6: Karnaugh Maps Week 7-8: Quine-McClusky Method, Multi-Level Gate Circuits (1) Week 9: Midterm Exam Week 10: Multi-Level Gate Circuits (2) Week 11: Combinational Circuit Design and Simulation Using Gates Week 12-13: Multiplexers, Decoders, and Programmable Logic Devices Week 14-15: Latches and Flip-Flops Week 16: Registers and Counters, Analysis of Clocked Sequential Circuits Week 17: Derivation of State Graphs and Tables Week 18: Final Exam

Evaluation and grading policy Homework + Quiz 30% Midterm 30% Final 30% Attendance 10%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Charles H. Roth, Jr. and Larry L. Kinney, Fundamentals of Logic Design, Cengage, 7th Edition, 2013..

The access to curricular consultation Email: hcli@mail.ntut.edu.tw

Office hour: Tues & Weds 10:00 ~ 12:00 or by appointment

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
　

Instructor	Hsiao-Chi Li　Office Hours
Email	hcli@mail.ntut.edu.tw
Last Updated	2025-05-28 09:34:48
Course Objective	Introduce the principles of digital logic. Topics include: 1. Number representation, number bases and base conversions, and binary codes 2. Boolean algebra and functions 3. Combinational design techniques: K-maps, tabulation method 4. Combinational logic circuits: adders/subtractors, comparators, multiplexors/demultiplexers, and decoders/encoders 5. Programmable logic circuits: read-only memory/programmable read-only memory (ROM/PROM), programmable logic devices (PLD), and programmable logic arrays (PLA) 6. Sequential logic circuits: state machine
Course Schedule	Week 1: Introduction Week 2-3: Boolean Algebra & Logic Gates Week 4: Minterm & Maxterm expansions Week 5-6: Karnaugh Maps Week 7-8: Quine-McClusky Method, Multi-Level Gate Circuits (1) Week 9: Midterm Exam Week 10: Multi-Level Gate Circuits (2) Week 11: Combinational Circuit Design and Simulation Using Gates Week 12-13: Multiplexers, Decoders, and Programmable Logic Devices Week 14-15: Latches and Flip-Flops Week 16: Registers and Counters, Analysis of Clocked Sequential Circuits Week 17: Derivation of State Graphs and Tables Week 18: Final Exam
Evaluation and grading policy	Homework + Quiz 30% Midterm 30% Final 30% Attendance 10%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Charles H. Roth, Jr. and Larry L. Kinney, Fundamentals of Logic Design, Cengage, 7th Edition, 2013..
The access to curricular consultation	Email: hcli@mail.ntut.edu.tw Office hour: Tues & Weds 10:00 ~ 12:00 or by appointment
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note