Baking And Specialty Decorating 10316121

Creation of baked goods along with high-end decorating techniques are practiced throughout this course. Learners will utilize their creative side as they design and produce attractive presentations.

Baking Fundamentals 10316102

Utilize baking principles and procedures for producing quick breads, yeast breads, cookies, cakes and pies. Learners will calculate product costs, weigh and measure ingredients, mix, shape, bake, garnish, package and merchandise bakery products.

Breakfast Cuisine 10316104

Applies techniques involved with cooking breakfast food such as: eggs, omelets, pancakes, waffles and breakfast meats.

Business Applications of AI 10156122

Explores the use of AI in modern business environments, focusing on practical applications such as predictive analytics, customer relationship management, and automation. Students will analyze real-world case studies, assess the benefits and challenges of integrating AI into business operations, and explore AI-powered business tools and platforms.

Complex Carbohydrates 10316106

Identify and prepare a variety of grains, legumes, potatoes, pasta and rice. Learners will create a variety of dishes utilizing complex carbohydrates.

Culinary Fundamentals 10316101

Food science principles applied to professional culinary food preparations. Units include professional kitchen operation, recipe terminology, culinary math and cooking techniques for various food categories. In addition, careers in the culinary industry are explored; including professionalism, ethics and etiquette.

Culinary Internship 10316116

Provides the culinary student the opportunity to apply cooking skills in a production environment. Ideally, learners will be working in a food service establishment where tickets are generated and food is prepared to order.

Data Concepts 1 10156131

Data Concepts 2 10156132

Data Mining & Predicitve Analytics 2 10156111

Employs RapidMiner, R, and Orange software packages in order to explore text mining using classification algorithms. Uses k-nearest neighbor and decision trees to further explore classification on structured data. Lastly, learners evaluate time series data using forecasting algorithms. Learners demonstrate their findings via PowerPoint and short video presentations.

Data Mining & Predictive Analytics 1 10156109

Employs RapidMiner, R, and Orange software packages in order to facilitate exploration of clustering, association, and text mining algorithms. Learners import a variety of data and use the algorithms in the various software products to extract meaningful information. Learners demonstrate their findings via PowerPoint and short video presentations.

Data Mining & Predictive Analytics 3 10156115

Employs Python, Excel, R, and other GUI software to explore a variety of algorithms that fall under the umbrella of predictive analytics and data mining. Learners derive meaning from data using neural networks. Learners apply statistical models including linear and logistic regression. Lastly, learners evaluate data using Naïve Bayes and Bayesian Networks. Learners demonstrate their findings via PowerPoint and short video presentations.

Data Visualizations 1 10156113

Design charts, graphs, dashboards, and other visualizations with an understanding of color and chart type. Learners use the appropriate types of chart based on the data that is being presented and the audience that is viewing the presentation and also build charts for the purpose of exploratory data analysis.

Data Visualizations 2 10156117

Builds on Data Visualizations 1 and emphasizes choosing proper charts for quantitative and time-series analysis. Learners build effective dashboards and tell effective stories based on audience needs and analytical comfort. Learners contrast the ways in which data visualization can be used to tell truthful and untruthful stories.

Ethical Livestock Harvesting 10316132

Assist in the ethical animal harvesting process. This process will cover transportation, unloading, and on-site slaughtering. Determine proper documentation and procedures to follow under State Inspection in various locations.

Ethics and Implications of AI 10156123

Examines the ethical, legal, and societal implications of artificial intelligence (AI). Students will explore issues such as bias in algorithms, data privacy, and the broader impact of AI on employment and social structures and will utilize frameworks for ethical AI development and deployment, emphasizing responsible data-driven decision making.

Foundations of Data Engineering 10156124

Provides a comprehensive introduction to data engineering principles and foundational cloud computing for data. Students will learn to build and maintain scalable data pipelines, process and store large datasets, and implement cloud-based solutions for secure and efficient data management. With a focus on real-world applications, this course explores data ingestion, transformation, and storage strategies using AWS tools. By combining essential cloud computing skills with data engineering techniques, students will develop the expertise needed to support analytics, machine learning, and business intelligence workflows across diverse environments.

Introduction to AI 10156121

Introduces the fundamental concepts and history of artificial intelligence (AI), including machine learning, neural networks, large language models and natural language processing. Students will explore AI technologies, review their development over time, and study their impact on society. This foundation will provide students with the necessary framework to understand and work with AI in future courses and professional settings.

Introduction to Python 10156102

Introduces computer programming and terminology in the Python programming language. Special attention is paid to concepts essential to writing basic computer programs. These concepts include: Data Types, Expressions, Loops, File Interaction, Collections, and Functions. Additionally, several tools required to develop Python applications will be explored. Throughout the course learners will develop increasingly complex applications as new topics are introduced.

Introduction to R 10156114

Introduce learners to the foundational concepts of data programming in the open-source language R. Learners explore ways to visualize data, examine data structures, and model the relationship between variables using commands in R. Learners incorporate problem-solving and critical thinking skills as they write commands to support their work with data analysis.

Mid-Day Meals 10316105

Experience in producing lunch meals through the use of grills, fryers, ovens and steamers. Service experience includes cafeteria line work and fast food delivery.

Principles Of Sanitation For Meat Processors 10316135

Examine principles of sanitation that relate to professional butchering operations. Learners will apply these principles in the forthcoming HACCP class.

Protein Identification, Fabrication, And Usage 1 10316131

Categorize the structure of various animal carcasses, including fabrication methods and performing a variety of cuts used in both foodservice and retail. Explore national meat identification systems, and the inspection process along with quality and yield grading as well as cost systems. Proper cooking methods and knife/ equipment selection will all be explored.

Python for Data Analytics 10156103

Introduces topics and libraries related to data analytics in the Python programming language. Learners will explore reading, processing, and writing files in native Python. Then they will explore data analytics, processing and visualization using NumPy, Pandas, Matplotlib and Seaborn.

Restaurant Cost Controls 10316115

Examine the concepts and techniques of controlling costs with an emphasis on determining the sales price based on cost inputs, and utilizing break-even calculations. Learners will calculate the cost of goods, overhead, and selling price. Learners will determine the resources needed to run various restaurant operations.

Restaurant Operations 10316114

Prepare foods in a lab setting while participating in various stations that are typically found in a restaurant. Learners will establish skills in serving, cooking, and customer service.

Sanitation For Food Service Operations 10316100

Development of skills to follow sanitation and hygiene provisions in state codes. Focuses on the challenges to food safety, developing a food safety system, Hazard Analysis Critical Control Point, working in a safe environment and maintaining sanitary facilities and equipment.

The Seasonal Kitchen And Pantry 10316111

Provides the learner with skills in choosing quality farm-fresh produce and utilizing staples found in a pantry. Learners will incorporate a variety of elements as they create a healthy menu such as salad greens, fruits, vegetables, meats and cheeses in meal preparation.

Wait Staff Training 10316119

Explore the art of service and the importance of front of the house work in the culinary program. Learners learn how to properly interact with guests and provide high quality customer service. Examine the proper techniques of table service, obtaining guest orders, interacting with the kitchen staff and creating a professional atmosphere.