Computer Applications in CHBE

Course Code:

CHBE311

Course Period:

Autumn

Course Type:

Core

Credits:

3

Theoric:

2

Practice:

2

Laboratory Hour:

0

ECTS:

5

Prerequisite Courses:

CHBE I: Fluid Mechanics

Course Language:

English

Courses given by:

Cem Levent Altan

Course Objectives:

This course aims to help the students to gain the ability to solve the mathematical problems faced in chemical and bioprocess engineering as well as statistical analysis of the collected data.

Course Content:

1) Introduction

2) Error analysis

3) Root finding in single nonlinear equations, bracketing methods

4) Root finding in single nonlinear equations, open methods

5) Root finding in system of nonlinear equations, open methods

6) Solution methods for system of linear equations

7) Approximation of discrete functions

8)Forward and backward differentiation methods

9)Central differentiation and integration methods

10)Regression and statistical analysis of collected data

11)Iterative solution of initial value problems (ODE)

12) Iterative solution of boundary value problems (ODE)

Course Methodology:

1: Lecture by instructor, 2: Problem solving by instructor, 3: Problem solving assignment

Course Evaluation Methods:

A: Written exam, B: Quiz

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Course Learning Outcomes

Course Learning Outcomes	Detailed Program Outcomes	Teaching Methods	Assessment Methods
1.a) Ability to iteratively find the root(s) of a single variable equation, and 1.b) Ability to estimate the error in the answer.	1a,1b,2a,2b,4a,4b,6c,8a	1,2,3	A,B
2.a) Ability to iteratively find the root(s) of a set of linear equations, and 2.b) Ability to estimate the error in the answer.	1a,1b,2a,2b,4a,4b,6c,8a	1,2,3	A,B
3.a) Ability to analyze discrete data statistically, and 3.b) Ability to approximate it as continuous functions where necessary.	1a,1b,2a,2b,4a,4b,6c,8a	1,2,3	A,B
4) Ability to apply numerical differentiation methods where necessary.	1a,1b,2a,2b,4a,4b,6c,8a	1,2,3	A,B
5) Ability to apply numerical integration methods where necessary.	1a,1b,2a,2b,4a,4b,6c,8a	1,2,3	A,B
6) Ability to iteratively solve the initial value problems of ODE	1a,1b,2a,2b,4a,4b,6c,8a	1,2,3	A,B
7) Ability to iteratively solve the boundary value problems of ODE	1a,1b,2a,2b,4a,4b,6c,8a	1,2,3	A,B

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to continuous and discrete functions	textbook
2	Error analysis	textbook
3	Root finding in single nonlinear equations, bracketing methods	textbook
4	Root finding in single nonlinear equations, open methods	textbook
5	Root finding in system of nonlinear equations, open methods	textbook
6	Solution methods for system of linear equations	textbook
7	Midterm Exam I
8	Approximation of discrete functions	textbook
9	Forward and backward differentiation methods	textbook
10	Central differentiation and integration methods	textbook
11	Regression and statistical analysis of collected data	textbook
12	Midterm Exam II
13	Iterative solution of initial value problems (ODE)	textbook
14	Iterative solution of boundary value problems (ODE)	textbook

Recommended Sources

RECOMMENDED SOURCES

Textbook

Applied Numerical Methods With Matlab For Engineers And Scientists, 3rd Ed., S. Chapra, McGraw Hill 2012.

Additional Resources

Numerical Methods for Engineers, 6th Ed. by S. Chapra and R. Canale, McGraw Hill 2006.

Numerical Methods and Modeling for Chemical Engineers, M. E. Davis, Wiley 1984.

Problem Solving in Chemical Enineering With Numerical Methods, M. B. Cutlib, M. Shacham, Prentice Hall 1999.

Material Sharing

MATERIAL SHARING
Documents	Lecture Notes
Assignments	Homeworks
Exams	Midterm and Quiz solutions

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Midterms	2	50
Quiz	5	10
Total		60
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		40
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		60
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	check √
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,	√
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.	√
2a	Ability to identify, formulate, and solve complex engineering problems,	√
2b	Ability to select and apply proper analysis and modeling methods for this purpose.	√
3a	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result,
3b	Ability to apply modern design methods for this purpose.
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.	√
4b	Ability to employ information technologies effectively.	√
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6a	Ability to work efficiently in intra-disciplinary teams,
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.	√
7a	Ability to communicate effectively in Turkish, both orally and in writing,
7b	Knowledge of a minimum of one foreign language,
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,
7d	Ability to make effective presentations,
7e	Ability to give and receive clear and intelligible instructions.
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,	√
8b	Ability to continue to educate him/herself.
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.
9b	Knowledge on standards used in engineering practice.
10a	Knowledge about business life practices such as project management, risk management, change management.
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.
11c	Awareness of the legal consequences of engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration	14	4	56
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Midterms	2	2	4
Final	1	3	3

Total Work Load			119
Total Work Load / 25 (h)			4.76
ECTS Credit of the Course			5

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Computer Applications in CHBE

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