Science, Engineering, and Mathematics

• Interpret and analyze sequential math processes
• Utilize an effective problem solving process
• Interpret and present data, and draw appropriate conclusions and recommendations
• Simplify, solve, evaluate and/or graph a variety of math related problems

• Understand the concept of functions verbally, numerically, graphically and symbolically.
• Relate and apply algebraic relationships to career applications.
• Interpret and analyze data from mathematical models in real world applications.
• Use appropriate technology to enhance mathematical thinking and judge the reasonableness of their results.
• Employ theories of functions and tools of mathematics to obtain a solution.

Although slightly modified, developmental mathematics course outcomes were originally taken from Dona Ana Community College’s state level competencies, and credit bearing course outcomes were based on AMATYC standards, found in Math Americans Mathematical Association of Two-Year Colleges (2018). IMPACT:   Improving Mathematical Prowess And College Teaching.   Memphis, TN: Author.

• Use descriptive statistics to describe sample data appropriately.
  • Generate and interpret common graphics (bar chart, pie chart, histogram, boxplot, scatterplot) to describe data.
  • Compute and interpret common statistics (mean, std, 5-number summary, correlation, regression slope and intercept) to describe data.
• Present concepts of probability
  • Able to apply probability rules to find probability of compound event
  • Able to find probability for an event from common distributions (Normal and Binomial)
  • Interpret sampling distribution, and able to use Central Limit Theorem to find distribution of sample mean.
• Identify Sample and Population
  • Identify sample and Population for any given research
  • Interpret why random sampling is required in order to avoid bias.
  • Differentiate between population parameters and sample statistics.
• Use appropriate inferential statistics to conclude toward the population of research interest.
  • Identify the two common processes of inferences (Confidence Interval and Hypothesis test)
  • Be able to use appropriate inference procedure to accommodate different research design. (z-CI and t-CI, z-test, t-test, Paired t and Two sample t test)
  • Interpret types of error from hypothesis test, and determine which type of error is possible based on the decision of the test.

• use oral communication effectively
• use written communication to effectively present technical information
• work effectively as a member of a team
• apply knowledge of mathematics, science and engineering
• identify, formulate, and solve engineering problems use computer engineering software to solve problems and present solutions
• design and conduct experiments
• analyze and interpret data
• demonstrate professionalism in interactions with colleagues, faculty and staff
• understand the impact of engineering solutions in our global environment

Program evaluation and assessment: The primary success metrics used to measure the effectiveness and quality of the program is the number of majors, number of graduates, and number of transfers to Bachelor’s degree. The program will be assessed as part of the DACC Bi-annual Program Review and annual budget process.

• Write a technical report
• Make an oral presentation on a technical topic
• Make an oral presentation on a technical topic
• Make calculations involving various electrical laws, formulas, and principles using algebra and trigonometry
• Produce an accurate schematic drawing of an electronic circuit
• Use the internet to find data and information
• Use library resources to find data and information
• Use test equipment to make measurements on circuits, systems, and equipment
• Identify defective parts, components, circuits or connections in systems and equipment
• Replace defective parts, components, circuits, or connections in systems and equipment

• write a detailed analysis using a 6-step problem solving approach to an equipment or process problem
• categorize and document system malfunctions, which will be discussed during the pass-down period in a production environment
• organize relevant training material to be discussed during teamwork training sessions
• identify safety hazards associated with electro-mechanical industrial production systems
• use a systematic approach to troubleshoot, identify, and perform corrective maintenance procedures in a system
• identify the subsystems of an industrial system and their function
• demonstrate the start up, operation, and power down programming sequences for an automated system
• apply automated troubleshooting programs to locate / identify fault in a production system
• evaluate real time statistical process control data (SPC) to determine (+/-) control limit corrections in a production environment
• identify personal areas in which he may be able to strengthen his / hers professional skills
• assess personal “development” paths, which will ensure a constant advancement through evolving technology careers
• demonstrate required skills for changing or creating and evaluating real time statistical process control (SPC) data associated with an industrial production process / program

• identify safety practices and industry standards that are in the Aerospace workplace (knowledge)
• discuss components of the electrical and mechanical systems of an aerospace system and their role in the system (comprehension)
• use a systematic approach to troubleshoot, identify, and perform corrective maintenance procedures in a system (application)
• identify the appropriate equipment and tools to test and take measurements on aerospace electric circuits and mechanical structures in aerospace systems (analyze)
• collect and organize test procedures and test data to write a technical report (synthesize)
• evaluate inspection requirements, planning, aerospace testing and measurements, control limit corrections in a production environment for aerospace systems (evaluate)

• Apply the scientific method of constructing and testing hypotheses leading to newer understanding in the discipline
• Identify assumptions within a given context and be able to predict outcome through data analysis
• Solve problems with existing protocols and/or be able to devise alternative procedures to complete a lab or design an experiment independently.
• Obtain, interpret and analyze numerical information through the use of appropriate tables, diagrams, and algorithms
• Apply discipline-specific knowledge to solve human problems in real world
• Effectively communicate knowledge in a way that is understandable to the general population.
• Develop competency in conveying discipline-specific knowledge through laboratory reports and/or written assignments following proper APA documentation style.
• Develop ethical arguments in in science in favor of greater good through the discussion of pros and cons of advances resulting from newer scientific discoveries and inventions.
• Develop competence in appropriate scientific laboratory techniques
• Work cooperatively in groups or teams to fulfill course objectives