PHIL 110 is UMGC's three-credit course on methods for thinking analytically about real-world problems and solving them.
The course description says the goal is to apply logical arguments to practical decision making. Topics include inductive and deductive reasoning, the properties of arguments, methods of logical analysis, synthesis of ideas, informal fallacies, and the role of presuppositions and other factors in scientific, social, ethical and political problems.
The challenge is applying rules to messy, real-world language. Arguments rarely arrive labeled with premises and conclusions, so you must reconstruct them first.
Course at a Glance
| Item | Details |
|---|---|
| University | University of Maryland Global Campus (UMGC) |
| Course code | PHIL 110 |
| Credits | 3 |
| Level | Undergraduate |
| Subject area | Critical thinking and practical logic |
| Typical work | Argument analysis exercises, fallacy identification, decision case studies (varies by section) |
What PHIL 110 Covers
| Topic (from the description) | What it means in practice |
|---|---|
| Deductive reasoning | Arguments where the conclusion follows necessarily if the premises are true |
| Inductive reasoning | Arguments where premises make the conclusion likely, not certain |
| Properties of arguments | Validity, strength, soundness and cogency |
| Methods of logical analysis | Breaking arguments into parts and testing links |
| Synthesis of ideas | Combining evidence into a reasoned judgment |
| Informal fallacies | Common reasoning errors in everyday language |
| Presuppositions | Background assumptions in scientific, social, ethical and political problems |
Key Concepts Explained
Deductive Versus Inductive
Deductive arguments are judged as valid or invalid. Inductive arguments are judged as strong or weak. Mixing these standards is a common error.
Invented illustration: "Every product this supplier sent last year passed inspection, so this one will too" is inductive. It could be strong or weak depending on sample size and whether conditions changed. It is not certain.
Informal Fallacies
| Fallacy | Pattern |
|---|---|
| Hasty generalization | Drawing a broad conclusion from too few cases |
| Slippery slope | Claiming one step inevitably leads to extreme outcomes without support |
| Begging the question | Assuming the conclusion in the premises |
| Equivocation | Using a word in two senses within one argument |
Uncovering Presuppositions
Ask what must be taken for granted for an argument to work. In policy debates, hidden assumptions about values or facts are often where the real disagreement lies.
Typical Assignments and How to Approach Them
| Task type | What it tests | How to approach it |
|---|---|---|
| Argument reconstruction | Finding premises and conclusion | Number each claim and show the links |
| Fallacy identification | Recognizing errors | Quote the passage and explain why the reasoning fails |
| Decision case | Practical judgment | Weigh evidence, name assumptions, state a conclusion |
| Discussion posts | Applying methods | Use a current example and show your analysis |
Reasoning Through a Practical Decision
Because the course is about applying logic to practical decisions, expect case-based tasks. Here is a short invented illustration of the full method.
Invented illustration: A team leader is told, "Remote workers are less productive, so we should end remote work." Step one, reconstruct: premise (remote workers are less productive), conclusion (end remote work). Step two, check the support: what evidence shows lower productivity, over what period, and compared with whom? Step three, surface presuppositions: that productivity is the only value, and that the cause is location. Step four, spot fallacies: possible hasty generalization from a few cases. Step five, conclude: the argument is weak as stated, and a stronger version would need broader evidence and would consider other goals.
Use this shape for decision cases: restate the claim, test the evidence, expose presuppositions, name any fallacies with reasons, and give a balanced judgment.
| Check | Question |
|---|---|
| Evidence | Is it enough, relevant and current? |
| Alternatives | Were other explanations considered? |
| Values | Which values are assumed? |
| Consequences | What follows if we accept it? |
Study Routine for Reasoning Skills
Reasoning improves by doing many short exercises. A realistic weekly routine can be small.
- Pick one editorial or advertisement and reconstruct its argument.
- Classify it as deductive or inductive and judge it by the right standard.
- Name any fallacy and explain exactly why it applies.
- Write one sentence on the presupposition that most affects the conclusion.
Doing this regularly makes graded exercises feel familiar, and builds the habit of examining everyday claims.
Where Students Get Stuck
- Labeling without explaining. Naming a fallacy needs a reason.
- Mixing standards. Do not call an inductive argument invalid.
- Ignoring context. The same wording can be fine in one setting and a fallacy in another.
- Missing presuppositions. Ask what the argument takes for granted.
Study Tips for PHIL 110
- Practice reconstructing arguments from opinion columns.
- Make a fallacy table with one example in your own words.
- Always state whether an argument is deductive or inductive first.
- Write one sentence on what would change your conclusion.
How We Help with PHIL 110
Send your exercises, prompt and notes. A tutor can explain each step, prepare worked examples of the same type, or review your own analysis and point out where the reasoning needs repair.
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Frequently Asked Questions
A UMGC course on applying logical arguments to practical decision making, including inductive and deductive reasoning and informal fallacies.
Three credits.
Deductive arguments aim for necessity; inductive ones aim for probability.
The description mentions methods of logical analysis but not symbolic logic. Check your syllabus.
The course page we checked lists none. Confirm in the current catalog.
Yes. We explain methods and prepare worked examples. We do not take tests for you.