L1, L2 ... Research has found “g” to be highly correlated with many important social outcomes and is the single best predictor of successful job performance. <> endobj The intended subject specific learning outcomes. 5 0 obj This course provides a broad introduction and details of faculty research areas. Course description. 6. Social Sciences Undergraduate Stage 2 & 3. Outcome 12.5 is related to the following Computer Science programme outcomes: o Strategies and Actions used to produce the outcome: Learn about artificial intelligence techniques and intelligent systems. Private study hours:128 Explain what constitutes "Artificial" Intelligence and how to identify systems with Artificial Intelligence. %PDF-1.5 This course is an introduction to the fundamental considerations of establishing and managing a small business. Explore the current scope, potential, limitations, and implications of intelligent systems. The intended generic learning outcomes. Introduction to Intelligence. 12 0 obj Outcome 11.6 is related to the following Computer Science programme outcomes: endobj Business intelligence (BI) is a technology-driven process for analyzing data and presenting useful information to help executives, managers and other end users make informed business decisions. endobj endobj A selection of topics will be made public at the start of the semester. Unit Learning Outcomes (ULO) Students who successfully complete this unit will be able to: 1. The course topics will vary each year, dependent on available teachers and scientific interests. Outcomes 11.1-11.5 are related to the following Computer Science programme outcomes: Several algorithms and methods are discussed, including evolutionary algorithms. Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis Wenting Ma Simon Fraser University Olusola O. Adesope Washington State University John C. Nesbit and Qing Liu Simon Fraser University Intelligent Tutoring Systems (ITS) are computer programs that model learners’ psychological states to provide individualized instruction. • Intellectual Skills: B.1 (Modelling) B.4 (Criteria Evaluation and Testing). The main focus of the course is to study intelligent systems inspired by the natural world, in particular biology. endstream 13.2 Reassessment methods Programming assignments are an integral part of the course. Course Outcomes: Students will gain deep understanding of the basic artificial intelligence techniques. 3 0 obj ... learn about how intelligent systems use uncertainty in reasoning and decision making in this free online course. 8.3 Explain the main concepts and principles associated with different kinds of knowledge representation, such as logic, case-based representations, and subsymbolic/connectionist representations. P. Bentley. Course Objectives: The main objective of this course is to : Provide a general introduction to intelligent systems . AI and ML systems are everywhere, in our cars and smartphones, and businesses of all sizes are investing in these areas. 9.5 use the library and appropriate internet resources in support of learning. purpose of this course is to familiarize you with the basic techniques of artificial intel- ligence/intelligent systems. endobj Total contact hours: 22 The module also provides an introduction to both machine learning and biologically inspired computation. <> 9 0 obj This course also explores applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms. 9.3 compare different strategies for problem solving, choose a strategy and justify that choice; We aim to bring both the course description and the semester page of all courses up to date with correct information by 1 February 2021. This course gives a basic introduction to machine learning (ML) and artificial intelligence … Dealing with unknown or incompletely specified environments is a form of intelligent behaviour that is critical in many intelligent systems. Over the last century or so, intelligence has been defined in many different ways. Apply different AI/IA algorithms to … Particular attention is given to modeling dynamic systems, measuring and controlling their behavior, and making decisions about future courses of action. S.J. <>/XObject<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/MediaBox[ 0 0 960 540] /Contents 4 0 R/Group<>/Tabs/S/StructParents 0>> Course Description. ((CSCI-261 and MATH-251) or permission of instructor) Course Outcomes 9.1 Discuss and give examples of the role of analogy and metaphor in science and engineering; This course will introduce the basic game‐playing techniques such as minimax search and alpha‐beta pruning. 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