155: 411 Introduction to Biochemical Engineering
Web page: sakai.rutgers.edu
Lectures: Monday & Wednesday 3:20–4:40 pm, BME 128
Instructor: Ioannis (Yannis) P. Androulakis
BME 212
Busch Campus
tel: (732) 445-4500 x6212, email: yannis@rci.rutgers.edu
Office hours: Open door policy
Teaching Assistant: Christopher Papamitrou, tel: (732) 445-5723
email: chrispap@eden.rutgers.edu
Course Description: The purpose of this course is to introduce the fundamental
principles of biochemical engineering and present a wide spectrum of potential
technological applications.
Course Objective: Present to the students the fundamentals of biochemical and
bioprocess engineering. Discuss recent advances in biotechnology. Discuss technological
implications of biochemical engineering in energy and life sciences
Textbook (required):
Bioprocess Engineering: Basic Concept by M.L. Schuler and F. Kargi, second edition,
Prentice Hall, 2002.
Class Participation:
Students are encouraged to participate in class. Occasional quizzes will also be given.
Assessment: Homework assignments: 10%, Two exams: 60%, Two literature review
projects: 30% (Engineering micro-organisms for energy production and Treating humans
like reactors)
Course Content:
Week
1
Date
Sep. 3
Topic
Introduction – Assessment
Book Chapter
1-2
2
Sep. 8-10
Enzyme and Enzyme Kinetics
3
3
Sep. 15-17
Enzyme and Enzyme Kinetics
3
4
Sep. 22
How Cells Work
4
Sep. 24
Metabolism
5
5
Sep. 29-Oct. 1
How Cells Grow
6
6
Oct. 6
Oct. 8
Stoichiometry and Product Formation
How Cellular information is Altered
7
8
1
6
Oct. 13
Oct. 15
Project #1 Discussion
Review
7
Oct. 20
Oct. 22
Exam 1
Special Topics
Lecture Notes
8
Oct. 27-29
Special Topics
Lecture Notes
9
Nov. 3-5
Special Topics
Lecture Notes
10
Nov. 10-12
Special Topics
Lecture Notes
11
Nov. 17-19
Nov. 26
No Class – AIChE Conference
Happy Thanksgiving!
12
Dec. 1
Dec. 3
Project #2 Discussion
Review
13
Dec. 8
Exam 2
Have a great
Winter Break!
Special topics will be covered by lecture notes and reading material to be distributed in
class.
2
ABET Outcomes and Assessment:
Program outcomes achieved in this course
(a) an ability to apply knowledge of mathematics, science and engineering;
(c) an ability to design a system, component, or process to meet desired needs;
(e) an ability to identify, formulate, and solve engineering problems; and
(k) an ability to use the techniques, skills, and modern engineering tools necessary
for engineering practice.
The achievement of outcomes (a), (c), (e), and (k) will be assessed in this course as
follows:
Outcome (a): an ability to apply knowledge of mathematics, science and engineering
(1) Assessment test: 1st day of class – same test at the time of the second exam (after
the basics have been revisited). The assessment test contains two sections (a)
background material; (b) general questions pertaining to the material covered in
class. The point of the assessment test is to verify that students improve their
understanding by demonstrating that they master the new material, and also that
the students made up deficiencies that were identified related to background
material
(2) Exams – Homeworks : Most of the problems test the ability to apply knowledge of
mathematics, science and engineering in problem solving
Outcome (c): an ability to design a system, component, or process to meet desired needs
Homework problems and course project are designed in an integrative manner that
challenges the students to understand the basic elements of synthetic thinking. In
particular, the course projects target specific technological questions and requires the
students to identify specific design requirements.
Outcome (e): an ability to identify, formulate, and solve engineering problems
Course projects: Course projects are formulated such that the students develop a critical
thinking and the ability to synthesize material from diverse sources targeted towards a
specific technological question.
Outcome (k): an ability to use the techniques, skills, and modern engineering tools
necessary for engineering practice
Homework assignments require the use of modeling tools, such as Matlab, as well as
preparation of high quality reports
3