TÜRKÇE
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Information
| Unit | FACULTY OF ENGINEERING |
| ENVIRONMENTAL ENGINEERING PR. | |
| Code | CMZ466 |
| Name | Environmental Modelling |
| Term | 2018-2019 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. ÇAĞATAYHAN BEKİR ERSÜ |
| Course Instructor |
Doç. Dr. ÇAĞATAYHAN BEKİR ERSÜ
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim is to define the processes used for eliminating the colloidal and dissolved items present in the triditional secondary tratment and give the details on design.
Course Content
Introduction to modeling, Fundamentals of mathematical modeling, Examples of analytical and mathematical methods, Water quality modeling in lakes and rivers, Introduction to modeling software, Building environmental models.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understand environmental modeling principles |
| LO02 | Learn what kind of data are generally needed to generate a model input file |
| LO03 | Understand the factors and processes that affect dissolved oxygen concentration in receiving waters |
| LO04 | Gain the ability to apply dissolved oxygen and BOD analyses to streams and rivers |
| LO05 | Understand general characteristics of lakes |
| LO06 | Gain the ability to apply dissolved oxygen and BOD analyses to lakes |
| LO07 | Understand general characteristics of estuaries and gain the ability to apply dissolved oxygen and BOD analyses to estuaries |
| LO08 | Gain the ability to run a water quality model and evaluate the results |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Becomes equipped with adequate knowledge in mathematics, science, environment and engineering sciences | 0 |
| PLO02 | - | Becomes able to apply theoretical knowledge in mathematics, science, environment and engineering sciences | 0 |
| PLO03 | - | Determines, describes, formulates and gains capabilities in solving engineering problems | 0 |
| PLO04 | - | Analyzes a system, components of the system or process, gains the designing capabilities of the system under the real restrictive conditions. | 0 |
| PLO05 | - | Chooses ans uses the ability to apply modern tools and design technics, suitable analytical methods, modeling technics for the engineering applications | 0 |
| PLO06 | - | Designs and performs experiments, data collection, has the ability of analyzing results | 0 |
| PLO07 | - | Works individually and in inter-disciplinary teams effectively | 0 |
| PLO08 | - | Becomes able to reach knowledge and for this purpose does literature research and to uses data base and other information sources | 0 |
| PLO09 | - | Becomes aware of the necessity of lifelong learning and continuously self renewal | 0 |
| PLO10 | - | Capable of effective oral and written skills in at least one foreign language for technical or non-technical use | 0 |
| PLO11 | - | Effective use of Information and communication technologies | 0 |
| PLO12 | - | Defines necessities in learning in scientific, social, cultural and artistic areas and improves himself/herself accordingly. | 0 |
| PLO13 | - | Professional and ethical responsibility | 0 |
| PLO14 | - | Project management, workplace practices, environmental and occupational safety; awareness about the legal implications of engineering applications | 0 |
| PLO15 | - | Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation and to have idea of contemporary issues | 0 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction/Orientation | This topic | |
| 2 | Introduction to modeling | This topic | |
| 3 | Fundamentals of mathematical modeling | This topic | |
| 4 | Fundamentals of mathematical modeling | This topic | |
| 5 | Examples of analytical and mathematical methods | This topic | |
| 6 | Examples of analytical and mathematical methods | This topic | |
| 7 | Mid-term Exam | This topic | |
| 8 | General characterstics of lakes and factors affecting the water quality of lakes | This topic | |
| 9 | Water quality modeling in lakes | This topic | |
| 10 | General characterstics of rivers and factors affecting the water quality of rivers | This topic | |
| 11 | Water quality modeling in rivers | This topic | |
| 12 | General characteristics of estuarines and factors affecting the water quality of estuarines | This topic | |
| 13 | Introduction to modeling software | This topic | |
| 14 | Building environmental models | This topic | |
| 15 | Case studies | This topic | |
| 16 | Final exam | This topic | |
| 17 | Final exam | This topic |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 10 | 10 |
| Total Workload (Hour) | 86 | ||
| Total Workload / 25 (h) | 3,44 | ||
| ECTS | 3 ECTS | ||