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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES

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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 
IST3020Seminar - I0+2+0ECTS:6
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of STATISTICS and COMPUTER SCIENCES
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Group study
Contact Hours14 weeks - 2 hours of practicals per week
LecturerProf. Dr. Orhan KESEMEN
Co-LecturerASSOC. PROF. DR. ZAFER KÜÇÜK,ASSIST. PROF. DR. HALİL İBRAHİM ŞAHİN,ASSIST. PROF. DR. ORHAN KESEMEN,ASSIST. PROF. DR. TOLGA BERBER,ASSIST. PROF. DR. UĞUR ŞEVİK,
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
Having completed this course, student will be able to prepare a subject for presentation and to participate effectively in group discussions.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : research, prepare and present on subjects given them6,9,10,112,5
LO - 2 : be aware of the social and ethical responsibilities and work in a professional group in the discipline6,9,10,112,5
LO - 3 : think critically and creatively, and work both independently and in groups.6,9,10,112,5
LO - 4 : apply acquired skills and techniques to various disciplines.6,9,10,112,5
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Any topic from the statistics and computer sciences
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Students' presentations
 Week 2Students' presentations (continued)
 Week 3Students' presentations (continued)
 Week 4Students' presentations (continued)
 Week 5Students' presentations (continued)
 Week 6Students' presentations (continued)
 Week 7Students' presentations (continued)
 Week 8Students' presentations (continued)
 Week 9Mid-term exam
 Week 10Students' presentations (continued)
 Week 11Students' presentations (continued)
 Week 12Students' presentations (continued)
 Week 13Students' presentations (continued)
 Week 14Students' presentations (continued)
 Week 15Students' presentations (continued)
 Week 16End-of-term exam
 
Textbook / Material
1Gihman I.I., Skorohod A. V. The theory of stochastic processes. Berlin, Springer, 1973.
2Casella, G. (2001). Statistical Inference. Pacific Grove, Calif. : Wadsworth.
3Joaquim P. Marques, 2007, Applied Statistics using SPSS, STATISTICA, MATLAB AND R, Springer, Berlin
 
Recommended Reading
1Hamdy, T., 2000, Yöneylem araştırması, Literatür yayınları, İstanbul.
2David McMahon, 2007; MATLAB®, McGraw-Hill, New York
3Reports and articles on the topic of the seminar
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
End-of-term exam 16 05/06/2014 1 100
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 14 28
Sınıf dışı çalışma 4 14 56
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 0 0 0
Arasınav 0 0 0
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 3 14 42
Proje 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 15 1 15
Dönem sonu sınavı 1 1 1
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load142