Orhan Gazi  is employed as a  Professor  of Electrical and Electronics Engineering in Ankara Medipol University. He completed his BS, MS, and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 1996, 2001 and 2007, respectively. His research areas involve signal processing, information theory, and forward error correction. More recently, he has begun studying polar channel codes and preparing publications in this area. He has published several textbooks on signal processing, information theory, channel coding, VHDL circuit design, and FPGA programming.

• Introduction.- Experiments, Sample Spaces, Events and Probability Laws.- Total Probability Theorem, Independence, Combinatorial.- Discrete Random Variables.- Functions of Random Variables.- Continuous Random Variables.- More than one Random Variables.- Conclusion.

“The book can be used as textbook for one semester probability theory course. Examples are provided to explain basic concepts which are simple and provide succinct information. The book is useful reading for anyone interested in probability theory.” (Pavel Stoynov, zbMATH 1544.60002, 2024)

Orhan Gazi  is employed as a  Professor  of Electrical and Electronics Engineering in Ankara Medipol University. He completed his BS, MS, and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 1996, 2001 and 2007, respectively. His research areas involve signal processing, information theory, and forward error correction. More recently, he has begun studying polar channel codes and preparing publications in this area. He has published several textbooks on signal processing, information theory, channel coding, VHDL circuit design, and FPGA programming.

• Introduction.- Experiments, Sample Spaces, Events and Probability Laws.- Total Probability Theorem, Independence, Combinatorial.- Discrete Random Variables.- Functions of Random Variables.- Continuous Random Variables.- More than one Random Variables.- Conclusion.

“The book can be used as textbook for one semester probability theory course. Examples are provided to explain basic concepts which are simple and provide succinct information. The book is useful reading for anyone interested in probability theory.” (Pavel Stoynov, zbMATH 1544.60002, 2024)

Orhan Gazi  is employed as a  Professor  of Electrical and Electronics Engineering in Ankara Medipol University. He completed his BS, MS, and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 1996, 2001 and 2007, respectively. His research areas involve signal processing, information theory, and forward error correction. More recently, he has begun studying polar channel codes and preparing publications in this area. He has published several textbooks on signal processing, information theory, channel coding, VHDL circuit design, and FPGA programming.

• Introduction.- Experiments, Sample Spaces, Events and Probability Laws.- Total Probability Theorem, Independence, Combinatorial.- Discrete Random Variables.- Functions of Random Variables.- Continuous Random Variables.- More than one Random Variables.- Conclusion.

“The book can be used as textbook for one semester probability theory course. Examples are provided to explain basic concepts which are simple and provide succinct information. The book is useful reading for anyone interested in probability theory.” (Pavel Stoynov, zbMATH 1544.60002, 2024)