Future University In Egypt (FUE)
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Altagamoa Al Khames, Main centre of town, end of 90th Street
New Cairo
Egypt
كلية الحاسبات وتكنولوجيا المعلومات
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Course List

Probability and Statistics

  • الكود :
    ST103
  • المستوى :
    بيانات المقرر
  • ساعات المقرر :
    3.00 ساعة
  • القسم :
    Faculty of Computers and Information Technology

بيانات المحتضر :

المجال التعليمى :

Apply the basic concepts, theories, meanings and interpretations of probability and statistics. Combine and evaluate different probability laws. Use basic mathematics in probability and statistics.  Analyze the analytical requirements of some applications to design a solution for these requirements. Compare, evaluate and select methodologies from range of probability distributions to model continuous and discrete systems. Use effectively communication skills. Carry out a self-learning and research in probability and statistics field.

لمزيد من المعلومات :

Probability and Statistics

This course provides an introduction on Statistics. Topics of interest include the statistical analysis on statistical data, statistical measurements. Elementary probability, probability theorems, conditional probability, independent and dependent events, total probability rule and Baye's Theorem. Discrete probability distribution, probability mass function, continuous probability distribution and probability density function. Mathematical expectation: mean and variance. Special discrete distribution: Bernoulli, Binomial. Geometric and Poisson distributions. Special continuous distribution: Uniform, negative exponential and normal distribution.

لمزيد من المعلومات :

Probability and Statistics

نتائج المقرر:

a. Knowledge and Understanding:

1- Define the fundamental concepts and theories related to probability and statistics
2- Discuss methodologies and practices of different probability distributions used in continuous and discrete systems modeling
3- Explain analytical requirements in developing real applications

b. Intellectual Skills:

1- Analyze and design analytical solutions for certain probabilistic problems considering limitations and constrains
2- Determine measurement criteria to identify appropriate probability distributions for continuous and discrete systems
3- Prepare probabilistic models and use hypothesis testing

c. Professional and Practical Skills:

1- Use different probability theorems such as Bayes’ theorem in real-life situations
2- Install and maintain supporting tools for data analysis
3- Realize probability distributions to model the behavior of variables for a wide variety of problems
4- Acquire a set of fundamental research skills to discover a set of fundamental research skills from different resources of probability and statistics

d. General and Transferable Skills:

1- Exploit a range of learning resources of probability and statistics
2- Work in a team effectively and efficiently considering time and stress management
3- Apply quantitative methods in understanding different case studies

لمزيد من المعلومات :

Probability and Statistics

موضوعات المقرر ومحتواه:

الموضوع عدد الساعات المحاضر عملى /نظرى
Probability theory: events, probabilities and conditional probability. 4 2 2
Probability theory: posterior probabilities, 4 2 2
Probability theory: counting techniques and case studies. 4 2 2
Discrete Random variables: expectations, variance, and standard deviation. 4 2 2
Continuous Random variables: expectations, variance, and standard deviation. 4 2 2
Random variables: Jointly distributed random variables and case studies. 4 2 2
Discrete probability distributions: Bernoulli random variable, Binomial and Poison distributions. 4 2 2
Discrete probability distributions: Geometric and Negative Binomial, and case studies. 4 2 2
Mid-Term Exam 2
Continuous probability distributions: Uniform, Exponential, and case studies. 4 2 2
Normal Distribution: combinations of normal random variables, approximating distributions with normal distribution 4 2 2
Descriptive statistics: experimentation and data representation. 4 2 2
Descriptive statistics: sample statistics and case studies. 4 2 2
Final Exam 2

لمزيد من المعلومات :

Probability and Statistics

التعليم والمناهج:

طريقة التعليم
Interactive Lectures including Discussions
Tutorials
Self-Study (Project / Reading Materials / Online Material / Presentations)
Problem Solving

منهجية التعليم :

Probability and Statistics

تقييم الكورس :

طريقة التقييم الوزن النسبى % رقم الاسبوع ماذا تقيم ؟
Assignments 10.00 4
Final Exam 40.00 14
Midterm Exam (s) 20.00 9
Others (Participations) 10.00
Quizzes 20.00 5

الوزن النسبى :

Probability and Statistics

الكتب:

الكتاب المؤلف الناشر

ملاحظات المقرر :

An Electronic form of the Course Notes and all the slides of the Lectures is available on the Students Learning Management System (Moodle)

الكتب المرشحة :

R. Walpole, R. Myers, S. Myers, K. Ye, Probability and Statistics for Engineers and Scientists, 9th ed. Prentice Hall, Pearson Education, 2011. ISBN978-0-321-62911-1.

الموقع الالكترونى :

• Stat Trek. Teach yourself statistics online. www.statrek.com • Practice for probability and statistics. www.khanacademy.org

لمزيد من المعلومات :

المقررات

تابعنا علي

فيديو الكلية

Future University In Egypt (FUE)

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