11th Grade Technology Resources

Gain proficiency in identifying and utilizing various data types and performing essential analysis functions in data science. Develop skills to accurately categorize and manipulate data through operations such as counting, sorting, and generating visual representations. Focus on mastering techniques that ensure effective and efficient data analysis.

Examine various types of bias and methods of data categorization to strengthen analytical skills. Gain the ability to identify and classify data effectively, thereby enhancing decision-making capabilities in data science. Focus on mastering these concepts for improved analysis and interpretation of data.

Explore the Engineering Design Process with an emphasis on effective problem-solving techniques. Cultivate analytical thinking by mastering skills to identify, develop, and validate engineering solutions.

Master the principles of the Naive Bayes algorithm in Python, with a focus on probabilistic classification methods. Gain the ability to apply Bayes theorem for effective text classification while developing a deep understanding of the feature independence assumptions intrinsic to the algorithm. Achieve proficiency in implementing these concepts through hands-on coding exercises and improve analytical skills in machine learning and data science. Equip yourself with the knowledge necessary to tackle complex classification challenges using the Naive Bayes approach.

Explore the computational concepts of overflow errors and binary representation to understand the limitations of numerical systems and their potential impact on data. Learners will develop skills in recognizing the constraints of digital number representation and analyzing its implications on data accuracy and performance.

Focus on the engineering design process with a detailed examination of iteration, constraints, and criteria to gain a solid understanding of core engineering concepts and their practical applications. Develop critical skills in analyzing how designs are improved through iterative processes and how constraints and criteria guide the engineering solutions. Enhance problem-solving abilities and design thinking essential for real-world engineering challenges.

Explore foundational concepts in data science with a focus on data collection, analysis, and visualization. Gain skills in data analytics essential for informed decision-making.

Focuses on the steps of the NOCTI Engineering Design Process, highlighting key stages from identifying needs to communicating solutions. Develop skills in designing, implementing, and evaluating engineering solutions.

Focus on understanding and applying logical procedures in AP Computer Science Principles through activities involving debugging and interpreting code. Develop the ability to predict the outcomes produced by specific code segments. Enhance skills in recognizing errors and accurately analyzing functionalities within programming constructs.

Analyze Sarawak's demographic data by focusing on population statistics from 2017. Develop analytical skills to evaluate official data, allowing a clear understanding of district populations and divisions.

Investigate iterative and linear design approaches by understanding their core principles and applications in engineering. Master the ability to distinguish and implement design models that focus on client-centered and sustainable solutions.

Gain an understanding of engineering principles with a focus on design criteria and constraints. Develop improved problem-solving skills through mastering the iterative design process.

Explore the principles of binary and character encoding, focusing on ASCII and other encoding schemes in computing. Learn the processes of converting between binary and decimal numbers, and acquire the skills to apply encoding knowledge effectively in various computational contexts.

Investigate the iterative nature of the Engineering Design Process and contrast it with the Scientific Method. Develop skills in refining processes through evaluation, focusing on enhancing understanding and application of each method.

Explore the Engineering Design Process by focusing on practical applications in product development. Identify challenges, develop prototypes, and iteratively improve solutions to cultivate critical thinking and problem-solving skills.

Explore the engineering design process and integrate Indigenous wisdom to enhance sustainability. Focus on understanding innovative solutions and appreciating the value of traditional knowledge.

Investigate the function of engineering design journals in the patent process and learn annotation techniques for creating sketches. Develop skills in effective engineering documentation by focusing on how journals contribute to the patenting procedure and understanding the importance of precise annotations in technical design sketches.

Investigate the principles of friction and their application in engineering design, addressing team dynamics and simple mechanics. Develop skills in critical thinking and problem-solving within collaborative scenarios, focusing on effective communication and innovative solutions.

Explore the fundamentals of data science, concentrating on data collection, management, and visualization. Develop the ability to extract insights and make informed decisions through data analysis techniques.

Investigate the engineering design process and its various stages, highlighting the importance of problem-solving within engineering. Develop the ability to identify constraints and create effective design briefs, enhancing skills necessary for successful engineering projects.