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Course Description Course Name : Mathematics II Course Code : MAT106 Course Type : Compulsory Level of Course : First Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 4 Name of Lecturer(s) : Prof.Dr. MUSTAFA AKAR Res.Asst. SEDAT GÜNDOĞDU Learning Outcomes of the Course : Developing matematical thinking system needed for solving problems about profession and other matters. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Teaching the basis of the concepts of trigonometry, sequences and series, differentiation, graphs of functions, integral, Matrices and Determinantsusing with the power of mathematical thinking. Course Contents : Trigonometry, series, differential calculus, applications of differential calculus, exponential and logarithmic function, derivatives of logarithmic function, integral calculus, applications of integrations, matrices, determinants, applications of matrix and determinants. Language of Instruction : Turkish Work Place : Classroom of Fisheries Faculty   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction SPEAKİNG 2 Trigonometry Reading related sources and making homework Lecture, solving problem 3 Sequens Reading related sources and making homework Lecture, problem solving 4 Series Reading related sources and making homework Lecture, problem solving 5 Derivatives and geometric meaning Reading related sources and making homework Lecture, problem solving 6 Rules of Differentiation and Higher Order Differentiations Reading related sources and making homework Lecture, problem solving 7 Application of Differentiation Reading related sources and making homework Lecture, problem solving 8 MID-TERM exam Studying midterm exam 9 Evaluation the changes and graphics of functions Reading related sources and making homework Lecture, problem solving 10 Graphics of exponential and logarithmic functions Reading related sources and making homework Lecture, problem solving 11 Taking the limits of iindeterminate forms Reading related sources and making homework Lecture, problem solving 12 Improper integral Reading related sources and making homework Lecture, problem solving 13 Certain integral Reading related sources and making homework Lecture, problem solving 14 Matrices Reading related sources and making homework Lecture, problem solving 15 Determinants Reading related sources and making homework Lecture, problem solving 16/17 FINAL Studying final exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  FİKRİ AKDENİZ, YUSUF ÜNLÜ, 1993 ANALİZE GİRİŞ-2 NOBEL YAYINLARI  AHMET A. KARADENİZ 1990, YÜKSEK MATEMATİK Required Course Material(s)  SERGE LANG 1969, SERGE LANG A FIRST COURSE IN CALCULUS, ADDISON WESLEY PUBLISHING COMPANY,LONDON. SEYMOUR LIPSCHUTZ, 1968, THEORY AND PROBLEMS OF LINEAR ALGEBRA, SCHAUM´S OUTLINE SERİES, MC GRAW-HILL BOOK COMPANY, LONDON.   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 13 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 Using the informatics and communicating technology 2 2 Gaining competence to determine the current status of aquatic resources and its sustainable use, water pollution and control, and biotechnology areas. 2 3 Ability to act in accordance with the regulation, social, scientific, cultural, and ethical values on fisheries field 1 4 Having knowledge on “natural and applied sciences” and “basic engineering”; combination of their theoretical and practical knowledge on fisheries engineering applications. 5 5 assessment of data scientifically on fisheries engineering, determining and solving the problems 4 6 Uses theoretical and practical knowledge in the field of fisheries to design; investigates and interprets events and phenomena usig scientific methods and techniques. 3 7 Collecting data in fisheries science, making the basic experimental studies, evaluating the results, identifying the problems and developing methods of solution 2 8 Having plan any study related to fisheries science as an individually, managing and consulting 2 9 Learning the knowledge by the determining learning needs; developing positive attitude towards lifelong learning 3 10 Communicating oral and written in expertise field, monitoring the seminars and meeting in expertise field, following the foreign language publication 4 11 Improving life-long learning attitude and using the information to the public interest. 3 12 Having skills to apply modern techniques and computational tools necessary for engineering applications. 2 13 Having ability to promote the study about aquaculture techniques by saving the natural environment, fishery diseases, fishing and processing technology, structure of fishery sector, problems and solution of their expertise field 1 14 Having ability to promote the study about aquaculture techniques by saving the natural environment, fishery diseases, fishing and processing technology, structure of fishery sector, problems and solution of their expertise field 3 15 Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning. 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 2 28     Out of Class Study (Preliminary Work, Practice) 20 2 40 Assesment Related Works     Homeworks, Projects, Others 13 2 26     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 98 Total Workload / 25 (h): 3.92 ECTS Credit: 4