PUBLIC ADDRESS

Course Description

This course is designed to examine the principles of public address and teach the students the main elements and factors which result in a dynamic and effective speech. Besides speaking skills, the course aims to help students to improve their listening skills so that they are able to evaluate and critique speeches they listen to insightfully. The course provides opportunity for students to significantly improve their public speaking skills by practicing and delivering speeches and presentations in a safe environment with feedback from their peers as well as their lecturer so that they will be able to critically examine their own and others’ speeches through interactive practice.

PUBLIC ADDRESS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Students will summarize how to organize a presentation
2. 02 Students will express how to deliver a speech
3. 03 Students will describe ethical rules in public speech
4. 04 Students will analyze the audience

Course Syllabus

Reference Books & Course Materials

1. 01 Stephan Lucas, The Art of Public Speaking, (11th Ed), 2011

Learning Outcomes

1. L01 Explains (4) how a presentation should be organized. SOLO 4
2. L02 Explains (4) the important points in delivering an effective speech. SOLO 4
3. L03 Describes (3) the ethical rules in public speech. SOLO 3
4. L04 Assesses (4) the role of listeners in public speaking and analyzes (4) the audience. SOLO 4

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix