COURSE UNIT TITLE

: ENVIRONMENTAL SYSTEM ANALYSIS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ÇEV 4773 ENVIRONMENTAL SYSTEM ANALYSIS COMPULSORY 3 0 0 3

Offered By

Environmental Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR HÜLYA BOYACIOĞLU

Offered to

Environmental Engineering

Course Objective

Understanding basics and importance of optimization techniques in the field of environmental applications. Gaining knowledge on linear programming. Having ability to solve environmental problems in the area of water pollution, waste managgement, air pollution control using linear programming. Gaining knowledge on economical analysis techniques and economic analysis of environmental projects.

Learning Outcomes of the Course Unit

1   Explanation of benefits of optimisation techniques and application approaches
2   Description of system approach
3   Explanation of linear programming methods. Solving environmental problems using this technique
4   Explanation of principals of economy in environmental engineering applications.
5   Explanation of economic comparision methods

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 System approach
2 Mathematical models and optimisation
3 Linear programming model formulation
4 Linear programming solving methods (Graphical method)
5 Linear programming solving methods (Simplex method)-1
6 Linear programming solving methods (Simplex method)-2
7 Linear programming examples (Water pollution, waste management, air pollution control)
8 Linear programming examples (Water pollution, waste management, air pollution control)-2
9 Lagrange multiplier method
10 Primal and dual problems
11 Introduction to engineering economics
12 Economic comparison methods
13 Economic comparison methods-2
14 Course assessment

Recomended or Required Reading

Civil and Environmental Systems Engineering. ReVelle, C.S., Whitlatch E.E., Wright J.R., Pearson Prentice HALL,USA, 2004.
Engineering Economy, Sullivan, W., Wicks E.M and Koelling C.P. Prentice Hall; 15 edition 2011.
Engineering Economics. Sepulvada J, Souder W, Gottfried B. Schaums Outlines. 1984.
Engineering Economic Principles, Steiner, H.M., McGraw Hill, 1996.
Mühendislik Sistemlerinin Ekonomik Analizleri, Öziş Ü, Harmancıoğlu N, Türkman DEÜ Müh.Fak. Basımevi, Izmir ,1990

Planned Learning Activities and Teaching Methods

Lecturing
Problem solving
Brainstorming

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Assessment (grading) of exams and homeworks.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. Hülya Boyacıoğlu
Tel: (232)301 71 35
Email: hulya.boyacioglu@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2,25 28
Preparing assignments 2 5 10
Preparation for midterm exam 1 8 8
Preparation for final exam 1 10 10
Midterm 1 2 2
Final 1 2 2
Project Assignment 2 2 4
TOTAL WORKLOAD (hours) 64

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1333
LO.245544
LO.345544
LO.423334
LO.523334