By the end of this course, students will be able to:
- Assess a business problem and/or opportunity from the current business environment, including new and untapped markets
- Design interdisciplinary solutions to address the business challenge or future opportunities by considering strategy, marketing, operations, organization, finance, and communication
- Reason critically through the solution process with appropriate modes of analysis
- Describe the solution’s implementation plans and processes with regard to the firm’s existing strategy, market, and organization
- Apply a variety of approaches to engage with busy business executives to obtain guidance and information, as well as, secure their buy-in to your ideas
- Understand the IoT component technologies.
- Evaluate the suitability of various IoT for different application scenarios.
- Apply the necessary skills to integrate IoT into a holistic solution.
- Create an Internet of Things prototype to conquer a real-world societal challenge.
- Reflect deeply and broadly about the various ways in which the Internet of Things can make immense impact in society, especially to those in need.
TBC
By the end of this course, students will learn to:
- Cleanse and prepare data to be in a form adequate for machine learning.
- Outline the steps involved in developing and consuming a machine learning model.
- Develop adequate machine learning models to meet different business objectives.
- Tune the performance of machine learning models.
- Create visualizations to consume the output from machine learning models.
Upon completion of the course, students will be able to:
- Demonstrate understanding and perspective on the XR landscape (past, present, and future).
- Demonstrate insights into key application areas for XR.
- Demonstrate understanding of fundamental programming and human-computer interaction techniques related to VR.
- Demonstrate the ability to design, develop, and integrate VR experiences in the business context.
- Demonstrate the ability to work with Unity, C#, XR libraries, and Meta Quest 2.
By the end of this course, students will be able to:
- Demonstrate a deep understanding of the key concepts in Strategic Management in Digital Media and Entertainment E-Commerce Ecosystem (DMEEE).
- Identify key learning and experiences from the real-life strategic business challenge proposed by Mediacorp.
- Explain how changes in the DMEEE could lead to new high-growth opportunities for Singapore.
- Explain how the differences in the consumer consumption of digital media, entertainment and e-commerce for Asians and non-Asians will impact the digital strategy in DMEEE.
- Identify and analyze potential strategic business opportunities in Asia.
- Develop an innovative digital strategy to compete in DMEEE in Asia.
This course contributes to the development of the following learning goals and objectives of the School’s Bachelor of Accountancy program: Learning Goal 1 (Accounting Competencies):
LO1.1: Our students can recognize, develop, measure, record, validate and communicate financial and other related information.
LO1.2: Our students can analyse, synthesise and evaluate financial and other related information for decision making in a management context. Students are expected to demonstrate the following technical competencies upon successful completion of this course: Understand the role of data analytics in solving accounting and business problems, such as revenue prediction, bankruptcy prediction, and fraud detection. Demonstrate familiarity with statistical programming in the contexts of forecasting and forensics. Transform financial and nonfinancial data into useful insights for business. Communicate inferences from analysis through writing, speaking, and visuals. Develop an ability to independently learn and explore new methods in analytics in this everchanging field. Class activities are designed to further develop students’ analytical, communication, and active learning skills, as well as students’ professional ethics. Students must be prepared to go beyond lecture materials and prescribed reading.
By the end of this course, students will be able to accomplish the following:
• Understand the political, economic, social, media and cultural factors that influence corporate strategic communication in different countries in Asia.
• Apply the principles and theories of cultural values and Global Public Relations framework when examining the industry practices.
• Analyze the effectiveness of different strategies when engaging with multicultural, multi-ethnic stakeholders in today’s technologically driven business environments.
• Gain valuable insights from guest speakers who manage communication in Asiac
• Integrate many communication modules and apply knowledge to align business objectives and communication strategies for effective engagement with the Mainland Chinese and Hong Kong audiences.
This SMU-X course offers an international experiential learning opportunity that allows students to translate classroom knowledge and theory into practical solutions for various institutions. In addition to visiting law firms, government agencies and international organizations, student will also participate in a consultancy project. Through the project, students will learn how to solve business and political problems with guidance from the faculty and project mentors. The project will focus on evaluating legal problems in different areas of law and recommending/applying solutions to these problems. This course aims to achieve the following objectives:
- Understand EU-ASEAN law and relations
- Solve real-world legal issues through a student consultancy project
- Incorporate active mentoring by faculty and project sponsors
By the end of this course, students should be able to: Disciplinary and Multidisciplinary Knowledge
- Articulate how the science of storytelling can be harnessed together with Generative AI to change attitudes, beliefs and behaviors.
Intellectual and Creative Skills
- Conceptualize and create narrative films/storyboards using the latest Generative AI tools.
- Demonstrate competence in using AI prompts to achieve desired outputs from Large Language Models and Diffusion Models.
Personal Mastery
- Develop empathy and perspective-taking through unearthing consumer narratives and insights.
