Course Syllabus

Course Information：

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

Fall Semester
Year 2026 362838 Digital Logic Design 1 3.0 3 ▲ Chao-Cheng Wu 4EE1C 0 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	362838	Digital Logic Design	1	3.0	3	▲	Chao-Cheng Wu	4EE1C	0	0

Course Plan：

Instructor Chao-Cheng Wu　Office Hours

Email ccwu@ntut.edu.tw

Last Updated 2026-06-04 11:47:24

Course Objective 布林代數與邏輯閘，組合邏輯，算術演算邏輯，同步循序邏輯，演繹狀態機，非同步循序邏輯。

Course Schedule Week 1(9/7、9). Introduction Week 2(9/14、16). Number systems、Holiday Week 3(9/21、23). Boolean Algebra (I) Week 4(9/28、9/30). Holiday ; Boolean Algebra (II) Week 5(10/5、7). Applications of Boolean algebra minterm and maxterm expansions Week 6(10/12、14). Karnaugh Maps (I) Week 7(10/19、21). Karnaugh Maps (II) Week 8(10/26、28). Holiday ; Quine-McClusky Method Week 9(11/2). Midterm Exam Week 10(11/9、11). Holiday ; Leave for a conference Week 11(11/16、18). Multi-Level Gate Circuits NAND and NOR Gates Week 12(11/23、25). Combinational Circuit Design and Simulation Using Gates Week 13(11/30、12/2). Multiplexers, Decoders, and Programmable Logic Devices Week 14(12/7、9). Latches and Flip-Flops Week 15(12/14、16). Registers and Counters Week 16(12/21、23). State Machines (I) Week 17(12/28、12/30). State Machines (II) Week 18(1/4). Final Exam

Evaluation and grading policy Homework exams: 30% Circuit Design: 10% Midterm: 30% Final exam: 30% Attendance: -1% for each absence recorded Bonus (if available): 10% Total: 110%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Fundamentals of Logic Design Enhanced, 7th Edition, by Charles H. Roth, Jr. , Larry L. Kinney , Eugene B. John, Pearson FT Press, 2020

The access to curricular consultation 約課後時間進行諮詢

Expanding teaching and resources ● 數位科技融入 (Digital Technology Integration)
運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。
Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
● 數位教材資源應用 (Application of Digital Resources)
採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。
Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.

The course corresponds to the SDGs 無（None）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

Note
　

Instructor	Chao-Cheng Wu　Office Hours
Email	ccwu@ntut.edu.tw
Last Updated	2026-06-04 11:47:24
Course Objective	布林代數與邏輯閘，組合邏輯，算術演算邏輯，同步循序邏輯，演繹狀態機，非同步循序邏輯。
Course Schedule	Week 1(9/7、9). Introduction Week 2(9/14、16). Number systems、Holiday Week 3(9/21、23). Boolean Algebra (I) Week 4(9/28、9/30). Holiday ; Boolean Algebra (II) Week 5(10/5、7). Applications of Boolean algebra minterm and maxterm expansions Week 6(10/12、14). Karnaugh Maps (I) Week 7(10/19、21). Karnaugh Maps (II) Week 8(10/26、28). Holiday ; Quine-McClusky Method Week 9(11/2). Midterm Exam Week 10(11/9、11). Holiday ; Leave for a conference Week 11(11/16、18). Multi-Level Gate Circuits NAND and NOR Gates Week 12(11/23、25). Combinational Circuit Design and Simulation Using Gates Week 13(11/30、12/2). Multiplexers, Decoders, and Programmable Logic Devices Week 14(12/7、9). Latches and Flip-Flops Week 15(12/14、16). Registers and Counters Week 16(12/21、23). State Machines (I) Week 17(12/28、12/30). State Machines (II) Week 18(1/4). Final Exam
Evaluation and grading policy	Homework exams: 30% Circuit Design: 10% Midterm: 30% Final exam: 30% Attendance: -1% for each absence recorded Bonus (if available): 10% Total: 110%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Fundamentals of Logic Design Enhanced, 7th Edition, by Charles H. Roth, Jr. , Larry L. Kinney , Eugene B. John, Pearson FT Press, 2020
The access to curricular consultation	約課後時間進行諮詢
Expanding teaching and resources	● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment. ● 數位教材資源應用 (Application of Digital Resources) 採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。 Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note