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General Info
Name Batis Nicholas
Category Professors
Phone 2410-684535
e-mail batis@teilar.gr
Web site
Contact hours
:: Δευτέρα8:00-9:00 Κτήριο Τμήματος
:: Πέμπτη10:00-11:00 και 13:00-14:00 
Short CV

Nicholas Th. Batis received the B.S. degree from Athens University in Math, M.S. degree in Economics Systems and M.S. and Ph.D. degrees in Operations Research all from Polytechnic Institute of New York, Brooklyn, NY. He started his professional career as an Assistant Professor at the University of Massachusetts/Boston and he continued his professional development as a member of Technical Staff (MTS) of AT&T Bell Laboratories. During his employment at Bell Laboratories got involved in analytical studies for the development of a high speed data network with world wide application. He was actively involved in the development of an international standard for a Frame Relay data network as a member of the USA technical team.


He is currently Professor at the Department of Information Technology and Telecommunications. Dr. Batis served as the chairman of the Information Technology and Telecommunications Department. He also served from September 2003 to September 2010 as Dean of the School of Engineering, at the Larissa Institute of Technology (TEI), Larissa, Greece. His current research interests include Optimization Methods in Communication Networks.

:: Introduction to Probability Theory and Statistics

Definitions, Combinatorial analysis, Random variables (discrete and continuous), Theoretical Probability distributions, The Binomial, Normal, Poisson, Bernoulli, Gamma, Exponential, etc. Basic concepts of Statistics, Estimation theory, Space of reliance, random variable functions.

Monday:       Lecture: 8:00-10:00am
                   Classroom: Amfitheater of building DDE
Monday:    Tutorials: GROUP A 10am-12 noon, Room: DIAL2
                                      GROUP B 12 noon -14:00, Room: DIAL2

This course analyzes the basic economic theory that is need for the solution of business economic problems. Specific topics that are studied include: Introduction to the decision making process. Goals and criteria for decision making. Money value over time. Annuities. Evaluation of different investment plans. Sensitivity analysis. Risk analysis. Economic forecasting models. Theory and analysis of supply and demand. Theory and analysis of production. Cost analysis.  Mathematical programming for cost minimization or profit maximization.  
Fall Semester

Lecture:               Friday:   9:00 am -12:00 noon Classroom Amfitheatro DDE
Tutorial:               Tusday  16:00  - 18:00  GROUP A, Amfitheatro DDE
                                             18:00  - 20:00  GROUP B, Amfitheatro DDE
:: Operations Research
This course analyzes the use of quantitative methods in decision making problems. In particular focuses in the mathematical models used to describe business problems characterized as linear programming problems. Specific topics of  linear programming that are studied include  problem formulation, seeking the optimal solution through the graphical method and with simplex, economic interpretation of the final tableau, and the dual problem. In addition, the course considers the transportation problem, networking problems and their algorithms for finding the optimal solution, the PERT/CPM method and the use of software packages designed for the solution of the above problems.
Spring Semester
9:00am -11:00am Problem solving   Group A, Classroom: ΔΙΑΛ2
11:00am  -  1:00pm  Problem solving  Group B,  Classroom: ΔΙΑΛ2
9:00am - 12:00 Lecture, Classroom: ΔΙΑΛ2

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Computer Science and Engineering
Faculty of Technological Applications
T.E.I. of Thessaly
Ring Road Larissas-Trikalon
Larissa, Greece
Tel: +30 (2410) 684312    FAX: +30 (2410) 684-573
GPS 39.628860, 22.382690
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