FNMT1201
10 units
1000 level
Course handbook
Description
Quantitative methods are used in many areas of business, finance, information technology, the built environment as well as in education. This course will explore the essential mathematical and statistical skill to analyse and work with data to get a better understanding of the world around us. Mathematical skills include algebra, equations and simple calculus and can be used to find direct solutions to certain problems. Statistical skills include representing, analysing and interpreting data to find probable solutions when an exact one can’t be found. This course is suitable for those students who have not studied, or who have not succeeded in, mathematics courses at the HSC level. Academic skills and support are embedded into this diploma course.
Availability
Not currently offered.
This Course was last offered in Semester 2 - 2024.
Replacing course(s)
This course replaces the following course(s): FNMT1001. Students who have successfully completed FNMT1001 are not eligible to enrol in FNMT1201.
Learning outcomes
On successful completion of the course students will be able to:
1. Demonstrate a sound knowledge and an understanding of numbers and arithmetic.
2. Explain and work with basic concepts in algebra.
3. Use mathematical skills in real world applications.
4. Apply basic mathematical and statistical concepts to real world problems.
5. Identify different data sets and interpret tables and graphs.
Content
Mathematical skills
- Basic numeracy: numbers, fractions decimals, percentages, rates of change, calculator use
- Basic algebra: terms, grouping symbols, factorisation, indices, fractions
- Equations: forming equations, methods of solving, quadratic equations, simultaneous equations, re-arranging formulas
- Functions: definitions, linear, quadratic, polynomial, exponential, logarithmic, reciprocal (hyperbola)
- Working with graphs: modelling the real world, intersections
- Differentiation: specific rules for classes of functions studied in this course, product/quotient rule, local extrema, optimisation problems
Statistical skills
- Working with data: data types, sample groups, tables, charts
- Measures of central tendency: mode, median, mean for discrete and continuous data
- Measures of dispersion: range, boxplots, standard deviation, outliers, use with averages
- Probability: simple probability, odds, joint events, conditional probability, 2-way tables, probability trees
- Correlation and regression: bi-variate data (2-way tables, boxplots, scatterplots), qualitative (statistical independence, odds), quantitative (linear correlation coefficient & least squares regression line)
- Probability distributions: binomial distribution, normal distribution, z-scores, confidence intervals, p-values from tables/calculators
Requisite
This course is only available to students enrolled in:
Diploma in Built Environment [40320],
Diploma in Business [40127],
Diploma in Data Analytics [40330],
Diploma in Education Studies [40316], or the
Diploma in Information Technology [40321].
Assessment items
Quiz: Quizzes on Maths and Stats
In Term Test: Test A
In Term Test: Test B
Course outline
Course outline not yet available.
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.