IB Computer Science HL

Computer science requires an understanding of the fundamental concepts of computational thinking as well as knowledge of how computers and other digital devices operate.

The Diploma Program computer science course is engaging, accessible, inspiring and rigorous. Click the expand link to see more →

IB Computer Science has the following characteristics:

• draws on a wide spectrum of knowledge
• enables and empowers innovation, exploration and the acquisition of further knowledge
• interacts with and influences cultures, society and how individuals and societies behave
• raises ethical issues
• is underpinned by computational thinking. Computational thinking involves the ability to:
• think procedurally, logically, concurrently, abstractly, recursively and think ahead
• utilize an experimental and inquiry-based approach to problem-solving
• develop algorithms and express them clearly
• appreciate how theoretical and practical limitations affect the extent to which problems can be solved computationally.

During the course the student will develop computational solutions. This will involve the ability to:

• identify a problem or unanswered question
• design, prototype and test a proposed solution
• liaise with clients to evaluate the success of the proposed solution and make recommendations for future developments.

Our class meetings Date of lesson Big idea Our class notes April 25 2017 client-side scripting and server-side scripting Click here for notes and homework April 21 2017 Organization about IA Click here for notes and homework April 18 2017 Review HTML validator, prep homework IA Click here for notes and homework April 13 2017 Write an HTML validator Click here for notes and homework April 6 2017 We will just code Click here for notes and homework April 5 2017 Discuss test, review DNS, begin discussing Protocols and standards on the web Click here for notes and homework March 30 2017 Review for test on Monday, DNS Click here for notes and homework March 28 2017 HTTP, HTTPS, HTML, URL, XML, XSLT, CSS Click here for notes and homework March 24 2017 UML, How the web is evolving Click here for notes and homework March 23 2017 Review IA, learn UML, diagram your solution Click here for notes and homework March 16 2017 Welcome to Web Science Click here for notes and homework March 14 2017 review game table & discuss IA Click here for notes and homework March 10 2017 extending into games table Click here for notes and homework March 9 2017 getting clear about github Click here for notes and homework March 6 2017 Last day for user system Click here for notes and homework March 2 2017 databases Click here for notes and homework February 16 2017 databases Click here for notes and homework February 14 2017 includes, starting databases Click here for notes and homework February 10 2017 login system Click here for notes and homework February 8 2017 login system Click here for notes and homework February 6 2017 login system Click here for notes and homework February 3 2017 review IA, bootstrap Click here for notes and homework February 1 2017 Review test, review IA, bootstrap Click here for notes and homework January 27 2017 Start Internal Assessment Click here for notes and homework January 25 2017 Exam Exam January 23 2017 Revision for exam on Wednesday Click here for notes and homework January 20 2017 Bootstrap, Managing releases and updates Click here for notes and homework January 18 2017 IDE, Data loss Click here for notes and homework January 16 2017 IDE, User training Click here for notes and homework January 12 2017 IDE check in, User documentation Click here for notes and homework January 10 2017 (A block) IDE check in, Change management Click here for notes and homework January 10 2017 (I block) introduction to 2017 case study and wiki's Click here for notes and homework January 9 2017 IDE & overview for the rest of the year Click here for notes and homework December 13 2016 data structures & trees & binary trees Click here for notes and homework December 9 2016 data structures & trees & binary trees Click here for notes and homework December 7 2016 data structures & stack & queue Click here for notes and homework December 6 2016 data structures & linked list Click here for notes and homework December 1 2016 Review and system fundamentals Click here for notes and homework November 28 2016 Review and system fundamentals Click here for notes and homework November 22 2016 Review and system fundamentals Click here for notes and homework November 21 2016 Review and system fundamentals Click here for notes and homework November 15 2016 Review and system fundamentals Click here for notes and homework November 10 2016 Review and system fundamentals Click here for notes and homework November 7 2016 Review and system fundamentals Click here for notes and homework November 4 2016 Review and system fundamentals Click here for notes and homework November 2 2016 Review and system fundamentals Click here for notes and homework October 20 2016 collections and arrays Click here for notes and homework October 18 2016 collections and arrays Click here for notes and homework October 14 2016 collections and arrays Click here for notes and homework October 11 2016 collections and arrays Click here for notes and homework October 7 2016 Computational thinking Click here for notes and homework October 3 2016 Computational thinking Click here for notes and homework September 30 2016 Computational thinking Click here for notes and homework September 28 2016 Computational thinking In-class assessment on operators, variables, and conditions September 26 2016 Computational thinking Click here for notes and homework September 22 2016 Computational thinking Click here for notes and homework September 20 2016 Computational thinking Click here for notes and homework September 19 2016 Computational thinking Click here for notes and homework September 15 2016 Computational thinking Click here for notes and homework September 13 2016 Computational thinking Click here for notes and homework September 9 2016 Computer organization Click here for notes and homework September 7 2016 Computer organization Click here for notes and homework September 6 2016 Computer organization Click here for notes and homework September 2 2016 Computer organization Click here for notes and homework August 31 2016 Computer organization Click here for notes and homework August 29 2016 Computer organization Click here for notes and homework August 25 2016 Computer organization and CLI Click here for notes and homework August 24 2016 Computer organization Click here for notes and homework August 23 2016 Welcome Click here for notes and homework Click for calendars Help! 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Helpful resources Getting started will help you with most of your resource needs. Click here for our google classroom link IB Computer Science textbook should also prove helpful. Official PHP documentation Official Python 2 documentation Official Python 3 documentation Official HTML documentation (scroll down a bit) Oracle SQL documentation SQL quick reference Sort-of-official CSS documentation	About this course Classroom Rules Our Classroom Rules Standards IB Computer Science HL standards Grading, Assessment and Rubrics Assessment for IB Computer Science HL What does it mean when you are asked to "describe", "analyse", or "compare"? Assessment re-take policy Classroom participation rubric Approaches to Learning rubric Informative writing rubric Extra credit Academic Honesty Academic Integrity
Credits Icons used with tremendous gratitude by Freepik from flaticon IB Diploma Program Computer science guide (first examinations 2014). Cardiff, Wales, United Kingdom: International Baccalaureate Organization. January 2012.

Provide an answer from a number of possibilities. Recognize and state briefly a distinguishing fact or feature.

Produce a plan, simulation or model.

Assess the implications and limitations; make judgments about the ideas, works, solutions or methods in relation to selected criteria.

Offer a considered and balanced review that includes a range of arguments, factors or hypotheses. Opinions or conclusions should be presented clearly and supported by appropriate evidence.

Offer a considered and balanced review that includes a range of arguments, factors or hypotheses. Opinions or conclusions should be presented clearly and supported by appropriate evidence.