Courses tagged with "Computer Science" (174)

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Udemy $49 Closed [?] Beginner Computer Science Databases Software Engineering Systems & Security Technology

SQL is the language of all databases, this course offers an easy way to master the SQL fundamentals

Starts : 2008-09-01
No votes
MIT OpenCourseWare (OCW) Free Closed [?] Computer Sciences Advanced Algorithms Algorithms Computer Science Electrical Engineering and Computer Science Graduate MIT

This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introductory courses on algorithms. It is especially designed for doctoral students interested in theoretical computer science.

18 votes
Udemy $49 Closed [?] Computer Sciences Computer Science Programming Programming & Software Engineering Programming Languages Software Engineering Technology

Improve your Perl skils, learn how to create modules and classes. Both using Moose and using the bare bones Perl.

Starts : 2017-07-11
367 votes
edX Free Computer Sciences English Computer Science EdX UC BerkeleyX

Part 2 of the UC Berkeley Agile Development Using Ruby on Rails XSeries Program will teach you to use JavaScript to enhance applications and create more sophisticated apps by adding relationships between models within the Ruby on Rails framework. You will also learn about what happens after the apps are deployed to real users, including how to monitor performance, identify and fix common performance problems, and avoid compromising customer data. Finally, learners will see how to apply Agile techniques to enhance and refactor legacy code and practice app deployment to real users to monitor performance, identify and fix common performance problems, and avoid compromising customer data. 

Other topics covered in this software engineering course include:

  • How to form, organize and manage small programming teams
  • Introduction to design patterns: what they are and how to recognize opportunities to apply them
  • Using Rails for more advanced features like third-party authentication and elegantly expressing design patterns that arise frequently in SaaS

There will be four homework assignments: two programming assignments, an open source assignment and one assignment about operations/deployment. There will also be several short quizzes. The videos and homework assignments used in this offering of the course were revised in October 2016.

Starts : 2017-05-16
No votes
edX Free Computer Sciences English Computer Science EdX UC BerkeleyX

This intermediate computer programming course uncovers how to code long-lasting software using highly-productive Agile techniques to develop Software as a Service (SaaS) using Ruby on Rails. You will understand the new challenges and opportunities of SaaS versus shrink-wrapped software and learn to apply fundamental Rails programming techniques to the design, development, testing, and public cloud deployment of an Software as a Service (SaaS) application

Using best-of-breed tools that support modern development techniques including Behavior-Driven design, user stories, Test-Driven Development, velocity, and pair programming, learners will discover how modern programming language features in Ruby on Rails can improve productivity and code maintainability. 

Weekly coding projects and quizzes will be part of the learning experience in this SaaS course. Those who successfully complete the assignments and earn a passing grade can get a verified certificate from BerkeleyX. The videos and homework assignments have been updated to use Ruby 2, Rails 4 and RSpec 3. The new class also includes embedded live chat with Teaching Assistants and other students and remote pair programming with other students.

Starts : 2015-04-14
No votes
Iversity Free Closed [?] Computer Sciences German Computer Science

Kursbeschreibung

Der Kurs führt in das zentrale Gebiet der Informatik ein, auf dem alle anderen Teilgebiete aufbauen: Wie entwickele ich Software? Anhand der Programmiersprache Java werden Algorithmen zum Suchen und Sortieren vorgestellt und die dazu benötigten Datenstrukturen wie Keller, Schlange, Liste, Baum und Graph eingeführt.

Was lerne ich in diesem Kurs?

Die Teilnehmer des Kurses werden in die Lage versetzt, eine Problemstellung auf maschinelle Lösbarkeit hin zu analysieren, dafür einen Algorithmus zu entwerfen, die zugehörigen Datenstrukturen zu wählen, daraus ein Java-Programm zu entwickeln und dieses zur Lösung des Problems einzusetzen.

Welche Vorkenntnisse benötige ich?

Mathematikkenntnisse auf Oberstufenniveau.

Kursplan

Kapitel      Thema
Kapitel 1        Einführung
Kapitel 2        Systemumgebung
Kapitel 3        Java
Kapitel 4        Datentypen
Kapitel 5        Felder
Kapitel 6        Methoden
Kapitel 7        Rekursion
Kapitel 8        Komplexität
Kapitel 9        Sortieren
Kapitel 10        Objektorientierung
Kapitel 11        Abstrakte Datentypen
Kapitel 12        Suchbäume
Kapitel 13        Hashing
Kapitel 14        Graphen

Starts : 2014-08-25
No votes
Coursera Free Closed [?] Computer Sciences English Advanced Algorithms Algorithms Computer Science Software Engineering Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Starts : 2017-02-21
No votes
edX Free Computer Sciences English Computer Science EdX IITBombayX

Algorithms power the biggest web companies and the most promising startups. Interviews at tech companies start with questions that probe for good algorithm thinking.

In this computer science course, you will learn how to think about algorithms and create them using sorting techniques such as quick sort and merge sort, and searching algorithms, median finding, and order statistics.

The course progresses with Numerical, String, and Geometric algorithms like Polynomial Multiplication, Matrix Operations, GCD, Pattern Matching, Subsequences, Sweep, and Convex Hull. It concludes with graph algorithms like shortest path and spanning tree.

Topics covered:

  • Sorting and Searching
  • Numerical Algorithms
  • String Algorithms
  • Geometric Algorithms
  • Graph Algorithms

This course is part of the Fundamentals of Computer Science XSeries Program

Starts : 2015-09-04
308 votes
Coursera Free Popular Closed [?] Computer Sciences English Computer Science Computer Science Software Engineering Theory

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

Starts : 2016-03-16
306 votes
Coursera Free Popular Closed [?] Computer Sciences English Computer Science Computer Science Software Engineering Theory

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

Starts : 2015-10-05
297 votes
Coursera Free Popular Closed [?] Computer Sciences English Computer Science Theory

In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), randomized algorithms, and more.

Starts : 2015-03-16
105 votes
Coursera Free Closed [?] Computer Sciences English Computer Science Theory

In this course you will learn several fundamental principles of advanced algorithm design: greedy algorithms and applications; dynamic programming and applications; NP-completeness and what it means for the algorithm designer; the design and analysis of heuristics; and more.

Starts : 2014-09-15
328 votes
Coursera Free Popular Computer Sciences English Computer Science Software Engineering

This course is designed to be a fun introduction to the basics of programming in Python. Our main focus will be on building simple interactive games such as Pong, Blackjack and Asteroids.

Starts : 2016-03-04
No votes
Coursera Free Closed [?] Computer Sciences English Computer Science Mathematics Theory

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

52 votes
Khan Academy Free Closed [?] Computer Sciences Advanced Algorithms Algorithms Applied Math Computer Science Randomized Algorithms Software Engineering

Starts : 2017-05-01
527 votes
edX Free Computer Sciences English ColumbiaX Computer Science EdX

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?

They are all complex real world problems being solved with applications of intelligence (AI).

This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.

You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.

Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.

Starts : 2015-01-12
96 votes
Coursera Free Computer Sciences English Artificial Intelligence Computer Science

The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications.

Starts : 2015-09-12
96 votes
Coursera Free Computer Sciences English Computer Science Theory

This course covers finite automata, context-free grammars, Turing machines, undecidable problems, and intractable problems (NP-completeness).

11 votes
Udemy $49 Closed [?] Beginner Computer Science Databases Software Engineering Systems & Security Technology

PostgreSQL Tutorial: What you need to know to get started with relational databases in PostgreSQL

Starts : 2015-02-23
No votes
Coursera Free Closed [?] Computer Sciences English Computer Science Software Engineering

Start learning how to program video games using the C# programming language. Plenty of practice opportunities are included!