Description:

Take your first step towards learning the core programming concepts and equip yourself with the appropriate knowledge and information to resolve complicated problems by enrolling in this Diploma in Computer Science and Programming.

Programming is the delicate craft of writing useful, maintainable, and extensible source code which can be read or compiled by a computing system to perform a significant task.

By learning the correct programming theory, you will be able to analyse a problem and identify suitable solutions to those problems. Apart from the theories of Algorithm analysis, this course also teaches you the Number System, Arrays and their Advantages, the process of analysing a problem, Nodes and their Importance, various sorting algorithms and their comparisons.

After completing the course, you will be able to understand the core theories of computer science.

Who is the course for?

  • Anyone who wants to become a Good Programmer
  • Anyone interested in the Computer Science Discipline
  • Anyone who wants to learn how to problem solve like a Computer Scientist

Entry Requirement:

  • This course is available to all learners, of all academic backgrounds.
  • Learners should be aged 16 or over to undertake the qualification.
  • Good understanding of English language, numeracy and ICT are required to attend this course.

Assessment:

  • At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.
  • Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam.

Certification:

After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24.

Why choose us?

  • Affordable, engaging & high-quality e-learning study materials;
  • Tutorial videos/materials from the industry leading experts;
  • Study in a user-friendly, advanced online learning platform;
  • Efficient exam systems for the assessment and instant result;
  • The UK & internationally recognised accredited qualification;
  • Access to course content on mobile, tablet or desktop from anywhere anytime;
  • The benefit of career advancement opportunities;
  • 24/7 student support via email.

Career Path:

After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.

Course Curriculum

Introduction
Kurt Anderson – Promo FREE 00:02:00
Kurt Anderson – 1 Introduction 00:01:00
Kurt Anderson – 2 Binary System 00:11:00
Analyzing Algorithms
Kurt Anderson – 3 Complexity Introduction 00:02:00
Kurt Anderson – 5 Math Refresher Factorial Functions.TS 00:03:00
Kurt Anderson – 5 Math Refresher Factorial Functions.TS 00:03:00
Kurt Anderson – 6 Math Refresher Algebraic Expressions.TS 00:03:00
Kurt Anderson – 7 n-notation 00:18:00
Kurt Anderson – 8 Big O 00:13:00
Kurt Anderson – 9 Big O Real World Example 00:10:00
Arrays
Kurt Anderson – 10 How is Data Stored 00:09:00
Kurt Anderson – 11 Fixed Arrays 00:20:00
Kurt Anderson – 12 Circular Arrays 00:08:00
Kurt Anderson – 13 Dynamic Arrays 00:16:00
Kurt Anderson – 14 Array Review 00:08:00
Kurt Anderson – 15 Array Real World Examples 00:06:00
Linked Lists
Kurt Anderson – 16 Nodes 00:04:00
Kurt Anderson – 16 Linked List 00:14:00
Kurt Anderson – 17 Linked List Run Times 00:15:00
Kurt Anderson – 18 Doubly Linked Lists 00:08:00
Kurt Anderson – 19 Tail Pointer 00:05:00
Kurt Anderson – 20 Linked List Real World Examples 00:03:00
Kurt Anderson – 21 Linked List Review 00:04:00
Stacks and Queues
Kurt Anderson – 22 Stacks 00:10:00
Kurt Anderson – 20 Stack Example 00:11:00
Kurt Anderson – 23 Queues 00:09:00
Kurt Anderson – 24 Queue Examples 00:10:00
Kurt Anderson – 25 Queue and Stack Run Times 00:06:00
Kurt Anderson – 26 Stack and Queues Real World Examples 00:07:00
Sorting Algorithms
Kurt Anderson – 27 Sorting Algorithm Introdcution 00:02:00
Kurt Anderson – 28 Bubble Sort 00:10:00
Kurt Anderson – 29 Selection Sort 00:10:00
Kurt Anderson – 30 Insertion Sort 00:09:00
Kurt Anderson – 31 Quick Sort 00:15:00
Kurt Anderson – 32 Quick Sort Run Times 00:10:00
Kurt Anderson – 33 Merge Sort 00:12:00
Kurt Anderson – 34 Merge Sort Run Times 00:08:00
Kurt Anderson – 35 Stable vs Nonstable 00:07:00
Kurt Anderson – 36 Sorting Algorithm Real World Examples 00:04:00
Trees
Kurt Anderson – 37 Basics of Trees 00:08:00
Kurt Anderson – 38 Binary Search Tree 00:09:00
Kurt Anderson – 39 BST Run Times 00:08:00
Kurt Anderson – 40 Tree Traversals 00:13:00
Kurt Anderson – 41 Tree Real World Examples 00:05:00
Heaps
Kurt Anderson – 42 Heap Introduction 00:04:00
Kurt Anderson – 43 Heap Step by Step 00:12:00
Kurt Anderson – 44 Heap Real World Examples 00:07:00
Conclusion
Kurt Anderson – 45 Thank You 00:01:00
Final Exam
Mock Exam

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020 3744 3990
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