This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.
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Coding for Everyone: C and C++ SpecializationUniversity of California, Santa CruzAbout this Course
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Learner Career Outcomes
12%
got a tangible career benefit from this course
17%
got a pay increase or promotion
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Approx. 15 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
Skills you will gain
Graph TheoryC++11Standard Template LibraryC++
Learner Career Outcomes
12%
got a tangible career benefit from this course
17%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 15 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
Offered by
University of California, Santa Cruz
UC Santa Cruz is an outstanding public research university with a deep commitment to undergraduate education. It’s a place that connects people and programs in unexpected ways while providing unparalleled opportunities for students to learn through hands-on experience.
Syllabus - What you will learn from this course
3 hours to complete
STL and the game of Hex
This module looks at the architecture of the Standard Template Library. It is especially important to understand how iterators are used to access container to produce highly efficient generic algorithms. The module also includes the important new style of function object—the lambda expression.
3 hours to complete
16 videos (Total 157 min), 1 reading
16 videos
1.1 Overview10m
1.2 New in C++115m
1.3 Standard Template Library9m
1.4 Iterator Categories11m
1.5 Example Poker Probability26m
1.6 Bidirectional Iterator8m
1.7 Random Access Iterator6m
1.8 STL: Overview of Containers10m
1.9 Associative Containers11m
1.10 STL: Algorithms Library6m
1.11 Non-mutating Algorithm7m
1.12 Lambda Expressions: for_each Function11m
1.13 Numerical algorithms6m
1.14 Functional Objects9m
1.15 Defined Function Object Classes: Function Adapters7m
1 reading
Topics, readings & files10m
3 hours to complete
Hex as a graph and Inheritance
This module shows how Hex can be played as a game on a graph. This involves its representation as an undirected graph in C++. The module explores the inheritance logic and syntax of C++. A principal example is the base class student and a derived class grad_student.
3 hours to complete
14 videos (Total 138 min), 1 reading, 1 quiz
14 videos
2.2 Homework Basic Hex Program4m
2.3 Basics of Inheritance13m
2.4 Traits and Inheritance7m
2.5 Virtual Member Functions10m
2.6 C++ Feature: 'final'1m
2.7 Topics on Inheritance1m
2.8 Hex Overview15m
2.9 One Style for a 11x11 Hex Graph6m
2.10 The Inheritance Mechanism10m
2.11 A Derived Class: grad_student18m
2.12 Students and Graduate Students12m
2.13 Virtual Function Selection10m
2.14 Confusion with Overloading5m
1 reading
Topics, homework, readings & files10m
2 hours to complete
Hex and the use of AI and C++ Move semantics
This module explains Min-Max and the Alpha-Beta algorithm for game playing. Its programming topics include C++ 11 Move semantics and a detailed example of referential garbage collection.
2 hours to complete
11 videos (Total 133 min), 1 reading
11 videos
3.2 Some Further Constructors5m
3.3 'Move' Constructor17m
3.4 Lookahead12m
3.5 Plausible Move Generator22m
3.6 alpha-beta Algorithm Preview4m
3.7 alpha-beta Improvement to Min Max15m
3.8 Polish Notation8m
3.9 Referential Garbage Collection17m
3.10 Abstract Base Class = 0 Notation9m
3.11 Tree Constructors8m
1 reading
Topics, readings & files10m
4 hours to complete
Monte Carlo Hex Program, Further advanced C++ Topics and Patterns
This module shows how to use Monte Carlo evaluation in complex games such as Hex and Go. This had led top championship level play in both these games. The module discusses C++ assertions and exceptions for error handling and the new C++ 11 feature static asserts. Finally, the last part of the module introduces the idea of “Design Pattern”, a feature of modern OO programming.
4 hours to complete
16 videos (Total 178 min), 1 reading, 1 quiz
16 videos
4.2 Monte Carlo12m
4.3 Basic Monte Carlo Idea5m
4.4 Simple Idea for Generating Board7m
4.5 MC - Go (2006)16m
4.6 Asserts and Exceptions18m
4.7 Static Asserts - New C++11 Feature8m
4.8 Exceptions13m
4.9 C++11 & Design Patterns18m
4.10 C++11 Standard12m
4.11 Thread8m
4.12 <tuple> C++11 New Library12m
4.13 The Bigger Picture10m
4.14 Factory Method6m
4.15 Factory Code; C++ 11 Example3m
4.16 Adapter Pattern6m
1 reading
Topics, homework, readings & files10m
Reviews
TOP REVIEWS FROM C++ FOR C PROGRAMMERS, PART B
by CKJan 31, 2019
It was good to avoid redundantly learning what C language is. Graph theory and Monte-Carlo methodology were fun. I enjoyed listening history of computer science and programming languages.
by SBJul 7, 2020
I wish that there was some interactive aspect of the class, like mentors or teaching assistants to ask questions of. But besides that, I learned a lot. Thanks.
by APAug 23, 2020
From History to Today's Programming World, every session lookout from Great perspective & passes through students that's really appreciate.
by SRJun 22, 2020
this course gives brief explanation of modern c++ and gives best intro about how to use this C++ into factory and real world
About the Coding for Everyone: C and C++ Specialization
This Specialization is intended for all programming enthusiasts, as well as beginners, computer and other scientists, and artificial intelligence enthusiasts seeking to develop their programming skills in the foundational languages of C and C++. Through the four courses — two in C, and two in C++ — you will cover the basics of programming in C and move on to the more advanced C++ semantics and syntax, which will prepare you to apply these skills to a number of higher-level problems using AI algorithms and Monte Carlo evaluation in complex games.
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