Instructor: Dr. Meng-Chih Su

Salazar Hall, Room 2004, (707) 664-4438,

Lecture: W 2:00 - 2:50 pm, Salazar 2003. Mandatory attendance. Bring textbook and lecture notes to each lecture. All electronic communication devices must remain off during lecture.

Office Hours: By appointment only.

Textbook: M. Morris Mano and Michael D. Ciletti, Digital Design, 4th ed., Prentice Hall, ISBN 0-13-198924-3.

Prerequisite: ES 110 and MATH 142E Discrete Math

Course Description:

Review of set theory and binary system, digital logic, Venn diagram, logic gates, minimization techniques, combinatorial logic and design of simple combinatorial logic circuits such as 1-bit adder; concept of coders, decoders and integrated circuits.

Learning Outcome:

Upon successful completion of this course, students will be able to:

  • Apply knowledge of math, science and engineering.
  • Design and conduct experiments, as well as analyze and interpret data.
  • Design a system, component, process to meet desired needs within realistic constraints.

Course Learning Objectives:

The objectives of this course are to:

  • Introduce the basic concept of digital and binary systems
  • Give students the concept of digital logic design
  • Give students the basic tools for the design and implementation of digital modules and subsystems
  • Reinforce theory and techniques taught in the classroom through project and laboratory assignments.
Learning Assessment:
Hour Exams: 3*100
Class Activities

Letter Grades:

A: ≥ 88.0, A-: 85.0 to 87.9, B+: 81.0 to 84.9, B: 78.0 to 80.9, B-: 75.0 to 77.9, C+: 71.0 to 74.9, C: 68.0 to 70.9, C_: 65.0 to 67.9, D+: 61.0 to 64.9, D: 58.0 to 60.9, D-: 55.0 to 57.9 and F: ≤ 54.9

Absence from exam without the instructor’s permission will result in zero for the exam.

Exam Schedule: (subject to change)
Exam 1 2/5/W Ch. 1
Exam 2 3/12/W Ch. 2
Exam 3 4/30/W Ch. 3

It is the policy and practice of Chemistry Department and the instructor to make reasonable accommodations for students with properly documented disabilities. Written notification from Student Disability Services is required. If you are eligible to receive an accommodation and would like to request it for this course, please discuss it with Student Disability Services. Student Disability Services will inform the instructor about appropriate accommodation for you.

Student Learning Outcomes vs. Course Learning Objectives:
(Support Level (0-5) 0=No support, 1=lowest support, 5=highest support)
ABET Student Outcomes Course Learning Objectives Level of Support
(a) an ability to apply knowledge of mathematics, science, and engineering A 4
(b) an ability to design and conduct experiments, as well as to analyze and interpret data B, C 4
(c) an ability to design a system, component, or process to meet desired needs B, C 4
(d) an ability to function on multi-disciplinary teams   0
(e) an ability to identify, formulate, and solve engineering problems D 3
(f) an understanding of professional and ethical responsibility   0
(g) an ability to communicate effectively   0
(h) the broad education necessary to understand the impact of engineering solutions in a global and societal context   0
(i) a recognition of the need for, and an ability to engage in life-long learning   0
(j) a knowledge of contemporary issues   0
(k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice A-D 3
(l) one or more technical specialties that meet the electronic-related needs of  North Bay companies A-D 3

Course Assessment: Students survey and peer instructor feedbacks are used to improve the course and students learning outcomes.