CEN210 Probability and Statistics

6 ECTS - 3-0 Duration (T+A)- 4. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN210
Name Probability and Statistics
Term 2017-2018 Academic Year
Semester 4. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Üniversite Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MEHMET FATİH AKAY
Course Instructor Prof. Dr. MEHMET FATİH AKAY (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

Introduce the student with probability concepts and their relation to the events.

Course Content

Random Variables and Processes for Computer Engineering, Probability, conditional probability, Bernoulli trials, the concept of a random variable, distribution and density functions, specific random variables, conditional distributions, functions of one random variable, mean and variance, functions of two random variables, conditional expected values, stochastic processes, systems with stochastic inputs, the power spectrum, discrete-time processes, poisson process.

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques,
PLO03 - Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly.
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively.
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence
PLO07 - Can access information,gains the ability to do resource research and uses information resources
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language
PLO10 - Professional and ethical responsibility,
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications,
PLO12 - Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues


Week Plan

Week Topic Preparation Methods
1 Introduction to probability 1. konu
2 Set theory and conditional probability 1. konu
3 Bernoulli trials 1. konu
4 Random variables 2. konu
5 Cumulative distribution function 2. konu
6 Probability density function 2. konu
7 Specific random variables 2. konu
8 Midterm
9 Discrete random variables 3. konu
10 Conditional distributions 3. konu
11 Asymptotic approximations 3. konu
12 Functions of one random variable 4. konu
13 Expected value 4. konu
14 Functions of two random variables 4. konu
15 Final exam
16 Final exam
17 Final exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Short Exam 75 30
1. Midterm Exam 25 10
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100

Update Time: 25.01.2018 03:53