C# and Financial Modeling
C# and Financial Modeling, available at $19.99, has an average rating of 4.3, with 57 lectures, 5 quizzes, based on 132 reviews, and has 378 subscribers.
You will learn about Students will learn C# and Financial Modeling An in-depth approach to various models Generics, LINQ, SQL and more Options: Binomial Tree, BSM, and Monte Carlo Portfolio Optimization Design Patterns This course is ideal for individuals who are Everyone It is particularly useful for Everyone.
Enroll now: C# and Financial Modeling
Summary
Title: C# and Financial Modeling
Price: $19.99
Average Rating: 4.3
Number of Lectures: 57
Number of Quizzes: 5
Number of Published Lectures: 56
Number of Published Quizzes: 4
Number of Curriculum Items: 62
Number of Published Curriculum Objects: 60
Number of Practice Tests: 2
Number of Published Practice Tests: 2
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Students will learn C# and Financial Modeling
- An in-depth approach to various models
- Generics, LINQ, SQL and more
- Options: Binomial Tree, BSM, and Monte Carlo
- Portfolio Optimization
- Design Patterns
Who Should Attend
- Everyone
Target Audiences
- Everyone
There are many different types of programming styles, such as algorithmic programming, functional programming, and object-oriented programming. And while each style is suited to a different programming language, C# is capable of all three of the above and more. C# was made to encompass the best of several standard programming languages and does an amazing job at it! Most people that code in C#, rarely switch languages, because it is such a versatile and beautiful tool that allows a programmer to connect in every way necessary. The teaching of the course includes all the steps needed to learn standard topics, as would be taught in a college classroom. The course solves standard problems in C#, with attention to general as well as language-specific issues including event-driven programming, inheritance and polymorphism, recursion, file I/O, exception handling, dynamic data structures, testing and debugging, multithreaded programming, and more. This will be a full course in C#, including design patterns.
The course begins with a solid understanding of the fundamental concepts of programming and builds from there, giving students many, many practice examples to code on their own and learn from for further enhancement and development. Successful students will be able to write correct and complete C# implementations of homework projects. Successful students will also complete exam questions that test use cases and will be able to write any program that is asked by employers when applying for internships or jobs. Good luck!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Data Types and Math Intro
Lecture 3: If Statements and More Operators
Lecture 4: Math and Casting
Lecture 5: More If Statements
Lecture 6: Switch Statements
Chapter 2: Iteration
Lecture 1: While Loops
Lecture 2: For Loops 1
Lecture 3: For Loops 2
Chapter 3: Methods
Lecture 1: Methods Intro
Lecture 2: Methods 1
Lecture 3: Methods 2
Chapter 4: Arrays
Lecture 1: Arrays Introduction and Explanation
Lecture 2: Arrays 1
Lecture 3: Arrays 2
Lecture 4: Passing Arrays into Functions for Mu, Stdev and Skew
Lecture 5: Setting Up A Matrix
Lecture 6: Sorting and Searching Examlples
Chapter 5: Practice Problems
Lecture 1: Practice 1 (Ternary Operator, Ref, Function Overloading)
Lecture 2: Practice 2
Chapter 6: Classes
Lecture 1: Slides 1 (Classes)
Lecture 2: Slides 2 (Classes, Inheritance, Polymorphism, Structs)
Lecture 3: Slides 3 (More examples and explanation of above)
Lecture 4: Slides 4 (Review and more examples)
Lecture 5: Coding Classes
Lecture 6: Classes Constructor, Get/Set, this, and Composition
Lecture 7: Structs: Complex Number
Lecture 8: Classes Inheritance and Polymorphism
Lecture 9: Examples of Inheritance and Ploymorphism
Chapter 7: LINQ
Lecture 1: Introduction to LINQ
Lecture 2: LINQ to Objects
Lecture 3: Arrays vs ArrayList vs List
Lecture 4: LINQ to Lists
Lecture 5: Advanced LINQ 1
Lecture 6: Advanced LINQ 2
Lecture 7: Advanced LINQ 3
Lecture 8: Advanced LINQ 4
Chapter 8: Collections and Generics
Lecture 1: Slides (Generics)
Lecture 2: Concepts in Storing Data
Chapter 9: Solving Equations
Lecture 1: Bisection Method
Lecture 2: Fixed Point Iteration
Lecture 3: Newton's Method
Chapter 10: Systems of Equations
Lecture 1: Gaussian Elimination
Lecture 2: PA=LU Decomposition
Lecture 3: Jacobi Method (Iteration)
Lecture 4: Gauss-Seidel Method (Iteration)
Chapter 11: Financial Applications
Lecture 1: Newtons Method and PA = LU Applications
Lecture 2: Another LU example with bonds
Lecture 3: Financial Applications Practice
Lecture 4: Financial Applications Practice with Answers
Lecture 5: Mean Variance Optimization, GMVP, SIM, Constant Correlation and Shrinkage Method
Chapter 12: Windows Forms
Lecture 1: Forms Intro
Lecture 2: List Box Output
Lecture 3: List Box Input
Lecture 4: Using Textboxes and Buttons
Lecture 5: Labels with Arrays
Instructors
-
Matthew Fried
Prof.
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 2 votes
- 3 stars: 5 votes
- 4 stars: 26 votes
- 5 stars: 97 votes
Frequently Asked Questions
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