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  Course Description
Course Name : Analysis Methods in Seafood

Course Code : SAİ-506

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. MEHMET ÇELİK

Learning Outcomes of the Course : Teaches chemical analysis methods
Explains physical analysis methods
Teaches sensory analysis methods

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : Teaching chemical, physical and sensory analysis methods in seafood

Course Contents : Chemical (crude protein, lipid, dry matter, crude ash, fatty acids, TBA, TVB-N, peroxide, free fatty acids etc.), physical (ph and colours measurements etc.) and sensory analysis methods in seafood

Language of Instruction : Turkish

Work Place : Classroom of Faculty of Fisheries, Çukurova University


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Description of fish and shellfish meat Reading the course subject Lecture, Visual demonstration, Discussion
2 Changes after catching Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
3 Classification of analysis methods Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
4 Chemical analyses Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
5 Chemical analyses Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
6 Physical analyses Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
7 Sensory analyses Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
8 Midterm exam Studying for exam Written exam
9 Sensory analyses Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
10 Microbial analyses Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
11 Error sources in during analyses Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
12 Interpretation of analysis results Reading the lecture notes and related resources Lecture, Visual demonstration, Discussion
13 Homework and study Reading the lecture notes and related resources, homework preparation Lecture
14 Student presentations and general assessment Literature review Power point presentation by students, Discussion
15 Student presentations and general assessment Literature review Power point presentation by students, Discussion
16/17 Final exam Studying for exam Written exam


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


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 3 40
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 Deepens and improves the information based on university education up to expertise level in Fishing and Seafood Processing Technology 3
2 Comprehends interaction of expertise area in relation to interdisciplinary relationships 3
3 Comprehends interdisciplinary relationships between theoretical and applied information of their expertise to synthesize and to produce new information 3
4 Solves problems by using problem-solving and suitable methods, establishes cause and effect relationships in the process in his/her expertise. 4
5 Is able to carry out an independent study related to fishing and seafood processing technology and assesses the results of work. 3
6 Improves skills for independent study in their area of expertise, determinates unpredictable problems and produces methods of solutions 4
7 Accesses literature in their area of expertise and assesses knowledge and skill critically and leads to training. 4
8 Develops a positive attitude towards life long learning. 2
9 Prepares written and visual presentations with technological devices in their area of expertise 2
10 Examines and develops social relations and norms critically and changes all if necessary 1
11 Communicates both in written and verbal in one foreign language 1
12 Uses computer and communication technologies effectively for their expertise area. 1
13 Collects, assesses and publishes data related to their expertise area, cares publical, scientifical, cultural and ethicals values during data collection. 3
14 Develops strategy, politics and application plan in relation to expertise area and assesses the results obtained within the scope of quality process 3
15 Applies interdisciplinary studies with assimilated knowledge and skills for solving problem 0
* 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) 14 3 42
Assesment Related Works
    Homeworks, Projects, Others 3 13 39
    Mid-term Exams (Written, Oral, etc.) 1 7 7
    Final Exam 1 9 9
Total Workload: 139
Total Workload / 25 (h): 5.56
ECTS Credit: 6