Elementary Mathematics II

Course code

MLM6132.DT

old course code

MLM6132

Course title in Estonian

Elementaarmatemaatika II

Course title in English

Elementary Mathematics II

ECTS credits

4.0

Assessment form

assessment

lecturer of 2024/2025 Autumn semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

lecturer of 2024/2025 Spring semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

Course aims

To acquire basic knowledge about the methods for solving equations and inequalities.

Students have solid foundation of mathematical knowledge for teaching school mathematics in the area of equations, systems of equations and inequalities.

Students have solid foundation of mathematical knowledge for teaching school mathematics in the area of equations, systems of equations and inequalities.

Brief description of the course

Basic concepts related to rational equations, systems of equations and equalities. Rational, irrational and fractional equations and inequalities. Equations with absolute values, parametric equations- main solving methods.

Learning outcomes in the course

Upon completing the course the student:

- has a deep and broad knowledge of the concepts, principles, techniques, and reasoning methods of mathematics in the listed areas, and they are ready to use this knowledge to inform curricular goals and shape their instruction and assessment;

- has knowledge encompasses not only the details, rules, and procedures of mathematics, but also the larger themes and connecting ideas that tie together its various strands

- has a deep and broad knowledge of the concepts, principles, techniques, and reasoning methods of mathematics in the listed areas, and they are ready to use this knowledge to inform curricular goals and shape their instruction and assessment;

- has knowledge encompasses not only the details, rules, and procedures of mathematics, but also the larger themes and connecting ideas that tie together its various strands

Teacher

lekt Annika Volt

Prerequisite course 1

The course is a prerequisite

Study programmes containing that course

Swedish Philology (GRR3B/19.HT)

Swedish Philology (GRR3B/23.HT)

Swedish Philology (GRR3B/22.HT)

Swedish Philology (GRR3B/21.HT)

Primary School Teacher (KAKLI/19.HR)

Primary School Teacher (KAKLI/18.HR)

Primary School Teacher (KAKLI/00.HR)

Swedish Philology (GRR3B/20.HT)

Primary School Teacher (KAKLI/17.HR)

Primary School Teacher (KAKLI/16.HR)

Mathematics, Mathematical Economics and Data Analysis (MLMB/17.DT)

Primary School Teacher (KAKLI/15.HR)

Mathematics, Mathematical Economics and Data Analysis (MLMB/16.DT)

Integrated Natural Sciences (MLLB/00.LT)

Integrated Natural Sciences (MLLB/16.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/15.DT)

Integrated Natural Sciences (MLLB/15.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/14.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/13.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/12.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/00.DT)

Swedish Philology (GRR3B/23.HT)

Swedish Philology (GRR3B/22.HT)

Swedish Philology (GRR3B/21.HT)

Primary School Teacher (KAKLI/19.HR)

Primary School Teacher (KAKLI/18.HR)

Primary School Teacher (KAKLI/00.HR)

Swedish Philology (GRR3B/20.HT)

Primary School Teacher (KAKLI/17.HR)

Primary School Teacher (KAKLI/16.HR)

Mathematics, Mathematical Economics and Data Analysis (MLMB/17.DT)

Primary School Teacher (KAKLI/15.HR)

Mathematics, Mathematical Economics and Data Analysis (MLMB/16.DT)

Integrated Natural Sciences (MLLB/00.LT)

Integrated Natural Sciences (MLLB/16.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/15.DT)

Integrated Natural Sciences (MLLB/15.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/14.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/13.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/12.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/00.DT)