Week |
Subject |
Related Preparation |
1) |
Course Introduction and Overview: Purpose of Level I course, Learning Objectives, Assignments, Instructional Schedule, Discussion Boards, Grading, emailing the Professor, Networking with Other Students in Course, Important Links |
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2) |
Introduction to Adult Learners: Defining characteristics, Types of Learning Classification Schemes, Scope of Adult and Vocational Education in U.S., Lifelong Learning |
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3) |
Adult Learners II: Instructional Challenges Adult Learning Barriers, Principles of adult learning, Facilitating Learning |
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4) |
Student Diversity: Understanding and Respecting Cultural Diversity, Multicultural Education and Curricular Change, Special Student Learning Needs/Mainstreaming, Older Learners, Flexible Instructional Practices |
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5) |
Learning Across the Lifespan: Learning Across the Lifespan, Contemporary Learning Theory: Information Processing Theory, Memory Models |
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6) |
Technological Literacy: Technological Literacy and the Digital Divide Internet Tutorial: Overview, Search Engines, Databases, Research Tools |
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7) |
Effective Teaching: Teaching Effectiveness Model, History of Teaching, Research on Teaching Effectiveness, Ethical Issues in Teaching |
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8) |
Becoming a Master Teacher
Overview: Essential Skills and Competencies, Teaching Students How to Learn and Think |
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9) |
Planning for Instruction: Understanding the Culture of Teaching, Curriculum Research and Development, Course Countdown, Developing a Syllabus |
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10) |
Direct Instruction: Instructional Model, Seven Steps, Planning, Lecturing and Managing Discussions |
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11) |
Instructional Media and Technology: Course Materials Preparation, Instructional Technology |
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12) |
Student Learning: Assessing Learning, Testing and Grading, Assessment vs. Evaluation, Promoting Higher Order Thinking Skills |
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13) |
Classroom Management and Discipline: Safety, Legal Responsibilities, Recordkeeping, Class Control, Problem Students, Discipline |
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14) |
Lifelong Learning: Student Motivation, Promoting Excellence, Self Esteem, and Involvement |
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Program Outcomes |
Level of Contribution |
1) |
Have sufficient background in mathematics, science and artificial intelligence engineering. |
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2) |
Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. |
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3) |
Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. |
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4) |
Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. |
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5) |
Select and use modern techniques and tools necessary for engineering applications. |
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6) |
Design and conduct experiments, collect data, and analyse and interpret results. |
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7) |
Work effectively both as an individual and as a multi-disciplinary team member. |
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8) |
Access information via conducting literature research, using databases and other resources |
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9) |
Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. |
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10) |
Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. |
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11) |
Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. |
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12) |
Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. |
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13) |
Have a sense of professional and ethical responsibility. |
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14) |
Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |
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