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  Course Description
Course Name : Coastal Engineering I

Course Code : İM-513

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. MEHMET SALİH KIRKGÖZ

Learning Outcomes of the Course : Identifies hydrodynamical and statistical characteristics of wave climate

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : To teach the basic information related to the Coastal Engineering

Course Contents : Linear wave theory. Particle velocity, acceleration and pressure variation for a progressive wave. Group velocity of a wave train, wave energy and energy propagation. Finite amplitude wave theories: Stokes, cnoidal, stream function and solitary wave theories. Wave breaking. Wave refraction, diffraction, reflection, and runup. Harbour oscillation. Statistical analysis of random waves. Wave generation in deep water.

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Introduction to Coastal Engineering none Lecture
2 Linear wave theori and related topics Revision of previous lecture Lecture
3 Linear wave theori and related topics Revision of previous lecture Lecture and problem solving
4 Linear wave theori and related topics Revision of previous lecture Lecture
5 Linear wave theori and related topics Revision of previous lecture Lecture and problem solving
6 Nonlinear wave theories and related topics Revision of previous lecture Lecture
7 Nonlinear wave theories and related topics Revision of previous lecture Lecture and problem solving
8 Midterm exam Revision Exam
9 Shoaling processes of waves Revision of previous lecture Lecture
10 Shoaling processes of waves Revision of previous lecture Lecture
11 Shoaling processes of waves Revision of previous lecture Lecture and problem solving
12 Linear random wave theory Revision of previous lecture Lecture
13 Linear random wave theory Revision of previous lecture Lecture
14 Linear random wave theory Revision of previous lecture Lecture and problem solving
15 Sea tides Revision of previous lecture Lecture and problem solving
16/17 Final exam Revision Exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 80
    Homeworks/Projects/Others 2 20
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Have knowledge and understanding at advanced level providing required basis for original projects in the field of civil engineering based on qualifications gained at undergraduate level. 4
2 Gain required knowledge through scientific research in the field of engineering, evaluate, interpret and apply data. 3
3 Be aware of new and emerging applications,examine and learn where necessary. 3
4 Construct engineering problems, develop strategies to solve them, and apply innovative methods for solutions. 3
5 Design and implement analytical modeling and experimental research and solve complex situations encountered in this process 4
6 Develop new and / or original ideas and methods; develop innovative solutions for the system, part, and process design. 3
7 Have learning skills 3
8 Be aware of innovative developments in the field of civil engineering, and analyse and learn them when needed. 3
9 Transfer process and results of the projects in the field of civil engineering or on national and international platforms in written or oral form. 3
10 Have knowledge in current techniques and methods applied in civil engineering. 2
11 Use computer software as well as information and communication technologies at the level required in the field of civil engineering 3
12 Oversee social, scientific and ethical values in all professional platforms. 2
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 12 6 72
Assesment Related Works
    Homeworks, Projects, Others 2 12 24
    Mid-term Exams (Written, Oral, etc.) 1 2 2
    Final Exam 1 2 2
Total Workload: 142
Total Workload / 25 (h): 5.68
ECTS Credit: 6