Advanced Topics in Statistics (ΣΕΕ19)

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General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Graduate
Course Code	ΣΣΕ19
Semester	2
Course Title	Advanced Topics in Statistics
Independent Teaching Activities	Lectures-Laboratory (Weekly Teaching Hours: 3, Credits: 7.5)
Course Type	Specialized general knowledge
Prerequisite Courses	-
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes (in English, reading Course)
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes

The purpose of this advanced course is to enrich students' knowledge with current advanced topics of statistical methodology and theory that are not closely related to other courses of the subject. Moreover, this course would be characterized by a close relationship with other areas of mathematics and computing, among others, and the aim is to be characterized by an interdisciplinary character. In the learning outcomes is included the familiarization of the students, by means of this course, with an interdisciplinary type of thinking for solving problems of the real world.

General Competences

Working independently Decision-making Production of free, creative and inductive thinking Criticism and self-criticism

Syllabus

The precise content of this course may vary from time to time, but it will consist of selected, advanced topics of contemporary research interest in statistical methodology, depending on both demands from students and the availability of appropriate course leaders. Examples include parametric lifetime modeling, experimental design, extreme value statistics, advanced stochastic simulation, graphical modeling, statistics quality control etc. The course will be of interest to students who want to develop their basic knowledge of statistics methodology. See the specific semester page for a more detailed description of the course.

Teaching and Learning Methods - Evaluation

Delivery	Classroom (face-to-face)
Use of Information and Communications Technology	Use of ICT in communication with students
Teaching Methods	Activity Semester Workload Lectures 39 Working independently 78 Exercises-Homework 70.5 Course total 187.5
Student Performance Evaluation	Final written exam in Greek (in case of Erasmus students in English).

Attached Bibliography

Θα καθορίζεται από τον διδάσκοντα / Will be determined by the teacher