Archived 2018 - 2019 IB Computer Science HL year 1: Difference between revisions

Revision as of 20:14, 14 August 2017

When this two-year course is over, you will have a full, general introduction to the most excellent field of computer science. You will know how to think about problems, you will know how to program a computer to follow instructions that helps to solve a problem.

Please. Don't think like a student. Think like a computer scientist.

Our class meetings

Date of lesson	Big idea	Our class notes
August 22 2017	Hello, World!	Click here for notes and homework

Click for calendars	Help! My code isn't working!

Helpful resources

Please understand and follow all the instructions in our getting started guide.
Click here for our collaborative code editor
Click here for a tool to help you solve coding problems (blockly help)
Click here for our google classroom link

Documentation

About this course

Classroom Rules

Our Classroom Rules

Standards

IB Computer Science HL standards

Grading and Assessment

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.

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 * Icons used with tremendous gratitude by [http://www.freepik.com/ Freepik] from [http://www.flaticon.com/ flaticon]
 * IB Diploma Program Computer science guide (first examinations 2014). Cardiff, Wales, United Kingdom: International Baccalaureate Organization. January 2012.
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-The Diploma Program computer science course is '''engaging, accessible, inspiring and rigorous'''.  Click the expand link to see more &rarr;
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-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.
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