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In this graduate-level course, engage with entrepreneurial leadership concepts by applying the POLC model, motivating people, and addressing leadership challenges in entrepreneurial ventures. This course covers content aligned with Saylor’s Master’s in Entrepreneurship and Innovation (MEI) courses. While the content of this course prepares students for the master’s courses, additional requirements—such as a graduate-level final assessment—are required for graduate credit. Click here for more ...

BUS650

Learn how to apply an engineering approach to computer software development by focusing on software principles, lifecycle models, requirements and specifications, architecture and conceptual model design, detailed design, implementation, validation and verification, quality assurance, configuration control, project management, tools, and environments.

CS302

This comprehensive course is designed to equip you with a strong foundation in machine learning (ML) through a systematic, step-by-step approach. This course covers the essential principles of supervised and unsupervised learning algorithms, providing a deep understanding of how machine learning models work and how they can be applied in real-world scenarios. You will explore the entire ML workflow, from data collection and preprocessing to model building and evaluation, ensuring you gain pra...

* Unit 1: Introduction to Machine Learning * Unit 2: Machine Learning Workflow * Unit 3: Data Preprocessing * Unit 4: Data Visualization * Unit 5: Supervised Learning – Regression * Unit 6: Supervised Learning – Logistic Regression * Unit 7: Unsupervised Learning – Clustering * Unit 8: Model Evaluation and Validation * Unit 9: Practical Implementation of ML Models * Unit 10: Ethical and Responsible AI

* Explain the importance of statistics and statistical analysis for applicability to business scenarios; * Explain the differences between data types (quantitative and qualitative data) and their application to real-world situations; * Apply the elements of descriptive statistics to solve problems and understand datasets; * Create graphs and visual representations of data; * Calculate metrics based on the properties of various data distributions; * Apply the concept of a random variable by d...

When we use programming for problem-solving purposes, data must be stored in certain forms (or data structures) so that operations on that data will yield a specific type of output. Imagine, for example, that a non-profit is having trouble staying afloat and needs more donations. It decides to keep track of its donors in a program to figure out who is contributing and why. The non-profit would first need to define the properties that would define those donors: name, address, amount donated, d...

* Explain the role of operations management and the use of the transformational model in the success of manufacturing and service organizations; * Evaluate the importance of market needs and operational capabilities (such as productivity, workflow, and quality) in formulating a business strategy that creates a sustainable competitive advantage; * Analyze operation processes from a variety of perspectives, such as productivity, workflow, and quality; * Discuss the goal of Supply Chain Managem...

* Unit 1: Introduction to Operations and Supply Chain Management * Unit 2: Process and Service Design Capacity Management * Unit 3: Operations and Process Analysis * Unit 4: Scheduling Model Analysis * Unit 5: Demand Forecasting * Unit 6: Process and Inventory Management * Unit 7: Facility Analysis – Location and Layout Planning * Unit 8: Supply Chain Distribution and Logistics * Unit 9: Supply Chain Integration and the Bullwhip Effect * Unit 10: Project Management

* Describe how business intelligence concepts and processes have changed over time due to business needs and technological change; * Explain how business intelligence supports managerial decision-making today; * Describe the approaches to managerial decision-making at each level in an organization and across different types of organizations; * Describe data- and text-mining processes; * Evaluate which data warehousing approaches are most appropriate for your business case; * Use common KPI (...

Do you know why leadership is so important to an entrepreneur? In this course, we will learn about your role as an entrepreneurial leader and address the behaviors and traits it takes to lead your business to success. What does it take to successfully lead an entrepreneurial venture, whether you have a staff of two or 200 people? In this course, we will answer this question. Some of those skills involve the POLC model, that is, the planning, organizing, leading, and controlling aspects of the...